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Software Engineer – Generative AI Applications |
Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.
What You’ll Do
- Develop and deploy software that integrates LLMs and AI‑driven capabilities
- Build intuitive front‑end interfaces and scalable backend services
- Design and maintain RESTful APIs and deployment pipelines
- Write clean, well‑documented, testable code; participate in code reviews
- Stay current on AI/ML advancements and evaluate new technologies
- Collaborate with data scientists, engineers, and product teams to embed AI into clinical development tools
- Monitor production systems and optimize performance
Who You Are
- Full‑stack engineer with strong experience building AI‑enabled applications
- Deep understanding of modern AI/LLM capabilities, limitations, and best practices
- Strong communicator who can work across scientific and technical teams
Minimum Requirements
- Bachelor’s or Master’s in CS, Engineering, Math, or related field
- 5+ years full‑stack development experience
- Expertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)
- 2+ years building or deploying AI/ML applications
- Experience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)
- Strong automated testing skills (unittest, jest, Playwright)
- Familiarity with Agile development
- Experience with AWS, Snowflake, and scalable system design
- Experience integrating LLMs, RAG systems, or chatbots
Preferred
- Experience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorch
- Experience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)
- Background using NLP/LLMs on clinical text or knowledge of clinical development
Onsite AI Engineer - Construction Industry Focus
New Haven, CT - Onsite 5 days per week
- Initial Assignment: Fully onsite 5 days per week at a construction site in Ft. Myers (FL) or New Haven (CT) for 1 year
- Post-Assignment: Relocation to one of the corporate offices for hybrid employment: Boston, MA (preferred), New York City (NY), New Haven (CT), Herndon (VA), West Palm Beach (FL), or Estero (FL)
Role Summary
As the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.
Responsibilities
- Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
- AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
- RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
- Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
- Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
- Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
- Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the “Construction Site of the Future.”
- Compliance and hand-offs: Ensure all AI solutions meet the company’s data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.
Qualifications
- 4+ years in AI engineering, data science, or ML-focused software engineering.
- Proven experience building multiple AI agents in production environments.
- 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
- Must have strong traditional software engineering background in Python
Bonus Points
- Experience in construction, manufacturing, or other process-heavy industries.
- Advanced degree in a technical field.
Position Title: Applied AI Systems Engineer
Location: Orange County, California (Hybrid)
Reports To: Head of Operations
Position Summary
This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.
The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.
This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.
Core Objectives
- Build an internal AI platform that automates high-volume operational workflows
- Reduce manual processing time and administrative overhead
- Improve accuracy, speed, and decision visibility across departments
- Establish scalable systems that support portfolio growth without proportional staffing increases
Primary Responsibilities
- AI Platform Architecture & Development
- Design and deploy AI agents to automate operational and administrative workflows
- Build LLM-powered systems for document review, data extraction, and decision support
- Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
- Implement evaluation, monitoring, and continuous improvement frameworks
Lease & Document Intelligence Automation
- Build tools to extract key lease terms, obligations, and risk clauses
- Automates lease abstraction and document comparison workflows
- Develop compliance and deadline tracking systems
- Enable searchable knowledge retrieval across lease and legal documents
Leasing & Asset Management Automation
- Automate LOI comparison and deal workflow summaries
- Build dashboards summarizing tenant performance, lease milestones, and risk exposure
- Support market intelligence and tenant prospecting research
- Develop underwriting support and reporting tools
Property Management & Financial Workflow Automation
- Automate CAM reconciliation data processing and variance detection
- Streamline tenant reporting and communication workflows
- Track vendor contracts, compliance deadlines, and service obligations
- Extract and structure financial data from operational documents
Data Infrastructure & Knowledge Systems
- Structure internal documents and data for AI retrieval and automation
- Build document ingestion, indexing, and retrieval pipelines
- Implement vector search and knowledge retrieval systems
- Maintain data integrity, access control, and auditability
Systems Integration & Deployment
- Integrate AI tools with property management, accounting, CRM, and document platforms
- Deploy systems within secure cloud environments
- Implement logging, monitoring, performance, and cost controls
- Ensure reliability and scalability of deployed systems
Collaboration & Implementation
- Translate operational workflows into technical automation solutions
- Work directly with leadership to prioritize automation opportunities
- Train teams and implement adoption workflows
- Establish standards for responsible and secure AI usage
Required Qualifications
- Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
- Demonstrated success in a rigorous academic or research environment
- 3–7+ years building production software, automation systems, or applied AI solutions
- Strong Python development and API integration experience
- Experience working with structured and unstructured data
- Experience deploying systems in cloud environments
- Strong understanding of system architecture and data pipelines
- Exceptional analytical and problem-solving ability
Preferred Qualifications
- Experience building document intelligence or contract analysis systems
- Experience with retrieval systems and vector databases
- Experience automating financial or operational workflows
- Experience integrating AI into business operations environments
- Experience in real estate, finance, logistics, or operations-heavy industries
- Evidence of research, technical publications, competitive programming, or open-source contributions
Technical Environment (Representative)
- Python and API-based architectures
- LLM platforms and agent orchestration frameworks
- Cloud infrastructure (AWS, Azure, or GCP)
- SQL and vector databases
- Workflow orchestration and automation tools
- Version control, logging, and monitoring systems
Success Metrics
- Performance in this role will be evaluated by:
- Reduction in manual administrative workload
- Automation coverage across operational workflows
- Accuracy and reliability of AI-driven outputs
- Adoption and usage across departments
- Operational efficiency gains and cost reductions
Work Environment
- Hybrid work model with in-person collaboration in Orange County
- Direct collaboration with executive leadership and operational teams
- High autonomy in system architecture and implementation decisions
Role:
Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.
Location: New Haven, Connecticut
Responsibilities:
- Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
- Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
- Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
- Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
- Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
- Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
- Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
- Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
- Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
- Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.
Qualifications:
- 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
- Bachelor’s in CS, Engineering, Physics, or a related field; Master’s preferred.
- Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
- Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
- Strong facilitation and communication skills.
- Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
- Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
- DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
- Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
- Willing and able to travel and work on active jobsites.
Key Responsibilities:
- Design and deploy observability frameworks leveraging tools such as Grafana, Dynatrace, Prometheus, ELK, Splunk, etc. Define best practices for monitoring, alerting, and visualization across hybrid and multi-cloud environments.
- Develop strategies for monitoring KPIs tied to business outcomes (e.g., sales performance, supply chain efficiency, customer experience).
- Collaborate with business and IT teams to identify key metrics and integrate them into dashboards and alerting systems.
- Implement AIOps solutions using industry-leading platforms like OpenAI, AWS Bedrock, Google Gemini, Anthropic, and similar technologies.
- Develop predictive analytics and anomaly detection models to proactively identify and resolve operational issues.
- Integrate observability tools with ITSM platforms and automation workflows. Enable automated root cause analysis and remediation using AI/ML models.
- Provide observability strategies for infrastructure (servers, storage, cloud), applications (microservices, APIs), and networks (LAN/WAN, SD-WAN). Collaborate with DevOps, SRE, and IT operations teams to ensure end-to-end visibility and reliability.
- Establish observability standards, KPIs, and SLAs for performance and availability. Ensure compliance with security and regulatory requirements in monitoring solutions.
- Develop scalable architecture using LLMs, agentic frameworks, and multi-modal AI technologies.
- Build AI-powered analytics platforms for IT operations analysis, anomaly detection, and predictive insights.
- Architect and deploy intelligent chatbots for IT support and self-service capabilities.
- Integrate AI solutions with existing IT operations tools and workflows.
- Implement automated remediation and root cause analysis using AI/ML models.
Qualifications:
- 10-13 years of relevant experience
- Hands-on experience with Grafana, Dynatrace, and other monitoring platforms.
- Practical experience implementing AI-based solutions for anomaly detection, predictive maintenance, and automated remediation. Familiarity with OpenAI, Bedrock, Gemini, Anthropic, or similar AI platforms.
- Strong understanding of infrastructure, application architectures, and networking. Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
- Proficiency in Python, Bash, or similar scripting languages for automation and integration.
- Strong experience with LLMs (OpenAI, Anthropic, Gemini, Bedrock) and agentic AI solutions.
- Hands-on experience in designing AI architectures for enterprise IT environments.
- Proficiency in Python or similar languages for AI model integration and automation.
and scaling AI agents — across our customer segments via consulting (SI/GSI) and technology (ISV) partners.
You will work closely with partners to build AgentCore-powered solutions that leverage agent orchestration, memory, tool
integration, and identity management capabilities, positioning AWS as the choice for enterprise agentic AI workloads.
This role requires a unique blend of strategic thinking, technical depth in agentic AI architectures, and business development
acumen. You will help partners understand and capitalize on the AgentCore value proposition — including its managed runtime, built
-in agent-to-agent communication, and seamless integration with Bedrock (model access, Guardrails, Knowledge Bases).
The ideal candidate will have experience creating, communicating, and driving successful partnership strategies at scale, ideally
with a background in sales or business development within the AI/ML or cloud infrastructure space. You should possess a
demonstrated ability to think strategically about business, product, and technical challenges — particularly around emerging
agentic AI patterns — and leverage data to uncover opportunities for AgentCore adoption and partner-led revenue growth.
Key job responsibilities
* Lead the development and execution of AIML go-to-market strategies for partners
* Collaborate closely with Sales, Customer Success, Marketing, and Product teams to drive comprehensive partnership initiatives
* Create scalable programs and deliver insightful business reviews to unblock partner challenges and drive growth
* Develop operational planning documents and serve as an AIML subject matter expert supporting broader internal teams
About the team
The AWS Data and AI Partner GTM team accelerates growth through our biggest bets and amplifying our most impactful partners. We focus on partners with the highest potential for impact, investing in key ISVs, systems integrators, and high-potential startups who can accelerate adoption of strategic AWS services and initiatives. Through technical leadership, partner channel experience, and go-to-market expertise, we create repeatable models that empower both our partners and AWS field teams to accelerate service adoption and deliver customer outcomes.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- 6+ years of developing, negotiating and executing business agreements experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience managing joint GTM success with technology partners, including development and tracking of joint sell-with and sell-through business activities
- Familiarity with AWS Partner Network (APN) programs, competency frameworks, or marketplace listings- Experience interpreting data and making business recommendations
- Familiarity with agentic AI frameworks and patterns (e.g., multi-agent orchestration, tool-use, RAG, memory/state management)
- Working knowledge of AWS AI/ML services, particularly Amazon Bedrock, SageMaker, and related infrastructure
- Understanding of LLM-based application architectures including agent runtimes, guardrails, and identity/access patterns
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, Mountain View - 162,7 ,200.00 USD annually
USA, CA, San Francisco - 162,7 ,200.00 USD annually
USA, NY, New York - 162,7 ,200.00 USD annually
USA, WA, Seattle - 147,9 ,100.00 USD annually
UiPath Developer – Agentic AI & Maestro
About WonderBotz
WonderBotz is a global leader in intelligent automation, delivering innovative RPA and AI solutions that help organizations scale efficiently, reduce costs, and unlock new opportunities. Our team blends technical expertise with business insight to ensure clients achieve measurable success.
Role Overview
We are seeking a UiPath Developer with hands-on experience in Agentic AI and Maestro orchestration. You will design, build, and optimize automation solutions that integrate advanced AI capabilities, ensuring seamless execution across enterprise-scale environments. This role requires strong technical skills, creativity in solution design, and the ability to collaborate with cross-functional teams.
Key Responsibilities
- Develop, configure, and deploy automation workflows using UiPath Studio and Orchestrator.
- Integrate Agentic AI capabilities into RPA solutions to enable intelligent decision-making.
- Utilize Maestro for orchestration, monitoring, and scaling of automation programs.
- Collaborate with business SMEs to gather requirements and translate them into technical designs.
- Build and maintain reusable components, libraries, and frameworks for automation.
- Conduct testing, debugging, and performance tuning of automation solutions.
- Document processes, technical specifications, and best practices.
- Provide support for production deployments and ongoing maintenance.
Qualifications
- 3–5 years of hands-on UiPath development experience (Studio, Orchestrator, Robots).
- Proven expertise with Agentic AI integration in automation workflows.
- Experience with Maestro for orchestration and enterprise automation management.
- Strong understanding of RPA lifecycle (design, development, testing, deployment, support).
- Familiarity with programming languages (VB.Net, C#, Python, SQL) is a plus.
- Knowledge of AI/ML concepts, NLP, and intelligent document processing preferred.
- UiPath certifications (Developer, Advanced RPA Developer) highly desirable.
Desired Characteristics
- Strong problem-solving and analytical skills.
- Excellent communication skills for technical and non-technical stakeholders.
- Ability to work independently and in collaborative team environments.
- Detail-oriented with a focus on quality and scalability.
- Passion for innovation and continuous learning in automation and AI.
Talent Acquisition Manager – AI Infrastructure & Engineering
San Francisco, California
Hybrid Working
We are expanding our global team and launching a new office in San Francisco.
WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.
This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.
You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.
This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.
The Role
You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.
Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.
Key Responsibilities
• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments
• Proactively source talent across the United States through mapping, referrals and direct outreach
• Screen candidates for technical capability, experience and long term fit
• Partner with engineering leaders to define hiring priorities and role requirements
• Maintain clear tracking of hiring pipelines and delivery progress
• Support wider Talent Solutions activity during peak delivery phases
• Ensure a professional and consistent candidate experience
• Champion fair and inclusive hiring practices
Key Experience
• Proven experience hiring across complex engineering environments
• Strong track record building pipelines across software and infrastructure roles
• Comfortable engaging with technical stakeholders and discussing engineering topics
• Excellent communication and stakeholder management skills
• Strong organisation with the ability to manage multiple roles simultaneously
What We Offer
• Competitive salary and benefits
• Opportunity to support one of the fastest growing AI infrastructure build programmes globally
• Growth within a high performing delivery focused team
• Hybrid working model
• A collaborative culture that values ownership, pace and problem solving
Additional Requirements
• Ability to commute to the San Francisco office
• No visa sponsorship available
• Hybrid working model
Join Our Team as a Website Tester at Little Wheel
Little Wheel is a gambling technology company focused on researching and building products that put players first. We are currently hiring Website Testers across Michigan, New Jersey, Pennsylvania, and West Virginia.
This is a great opportunity to earn extra income on a flexible schedule while helping us test online casinos. No prior experience is required, and all training is provided.
This is a short-term contract, with opportunities for ongoing work for high performers.
Role Overview
As a Website Tester, you will:
- Participate in user experience testing on various online casino platforms.
- Follow step-by-step instructions to complete assigned tasks.
- Record feedback and report bugs or usability issues.
- Provide detailed insights into your testing experience.
- Complete all testing assignments within set timelines.
Requirements
To be eligible, you must:
- Be at least 21 years old.
- Reside in one of the following states: Michigan, New Jersey, Pennsylvania, or West Virginia.
- Own a laptop or desktop computer.
- Be able to complete a short, paid online training and onboarding process.
No previous testing or gambling experience is needed. You will not be gambling with your own money, and there are no fees or out-of-pocket costs. All the interactions/game-play would be for testing purposes.
Compensation and Benefits
- Guaranteed earnings of at least $1,000 for approximately 20 hours of testing.
- Minimum of $25/hour, with higher pay for faster testers.
- $100 bonus upon completing the onboarding program.
- Flexible schedule – choose when you want to work.
- Work from home – test websites from the comfort of your own space.
- Fast payments – get paid after each of the 4 testing stages.
- Excellent support – coordinators available daily from 6 AM to 11 PM ET.
What Our Testers Say
"Great side gig for some extra cash. The team is very communicative and will answer any questions/concerns!" – Maria, Trustpilot (2021)
"Tasks are clearly explained with step-by-step instructions. You can work when it's convenient. Support is very helpful and responsive." – Anonymous, Glassdoor (2025)
Read more reviews on Glassdoor, Trustpilot, and Google.
Equal Opportunity Statement
Little Wheel LLC is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive environment for all applicants and employees, regardless of race, religion, color, national origin, gender identity, sexual orientation, age, disability, or veteran status. We celebrate diversity and strive to create a workplace where everyone feels valued.
Company Info
Website: Address: Little Wheel LLC, 250 Pehle Ave, Suite 200, Saddle Brook, NJ 07663 Phone: (833) 313-7490
Remote working/work at home options are available for this role.
We are seeking a curious and motivated AI & Systems Operations Associate to join our team in Chicago. This is an entry-level opportunity ideal for a recent graduate or early-career professional who is excited about artificial intelligence and interested in how emerging technologies can improve the way businesses operate.You do not need to be an AI programmer or have a technical degree. What matters most is that you are analytical, tech-comfortable, and naturally curious about AI tools and new technologies. If you regularly explore tools like ChatGPT, enjoy learning new platforms, and like figuring out smarter ways to solve problems, this role could be a great fit.
You will work closely with internal teams to help support AI tools, operational systems, and technology-driven workflows.
Key Responsibilities
- Assist in supporting and maintaining internal operational systems and technology platforms
- Use AI tools to help improve workflows, research solutions, and increase efficiency
- Review and monitor AI-generated outputs to ensure accuracy and usefulness
- Help identify opportunities to streamline internal processes through technology
- Support the adoption and use of new tools and systems across teams
- Assist with documentation, testing, and improvement of technology-driven workflows
- Stay informed on emerging AI tools and technologies that may benefit the business
Qualifications
- Bachelor’s degree required (any field – Liberal Arts, Business, Technology, etc.)
- Strong curiosity about artificial intelligence and emerging technologies
- Comfortable using modern technology platforms and software tools
- Familiarity with AI tools such as ChatGPT or similar platforms
- Strong critical thinking and problem-solving abilities
- Organized, detail-oriented, and eager to learn
- Ability to work hybrid in Chicago (3 days per week in-office)
Nice to Have (Not Required)
- Exposure to workflow or contract management platforms such as Ironclad
- Internship or academic experience involving technology, research, or operations
- Interest in legal technology, legal operations, or business systems
- Basic understanding of automation, AI tools, or digital workflows
