Technology Usage Data Jobs in Usa

SERVICE DESK ENGINEER (WA/OR/ID)

CANDIDATES MUST BE LOCAL TO THE SERVICE AREA AND BE LEGALLY AUTHORIZED TO WORK IN THE UNITED STATES ON A FULL-TIME BASIS – INTERNATIONAL CANDIDATES NEED NOT APPLY

Since 1993, Right! Systems, Inc. (RSI) has been providing exceptional solutions and uncommon expertise to help our customers achieve lasting benefits. As a multi-vendor systems integrator, we maintain high-level certifications with key technology partners for one reason: our customers.

We are seeking a talented individual for the role of Service Desk Engineer. This is a full time position. Candidates must live in the service area and report to one of our corporate office locations as needed to perform job duties. This role reports to the Service Desk Manager.

You will be working on a team of highly skilled technicians and engineers across a wide range of disciplines, representing solutions from Cisco, Juniper, HPE, Aruba, Palo Alto, Fortinet, and more. Your role is to ensure that industry best practices and methodologies are applied to the deployment, integration, and operational support of our customer environments. This is a great opportunity to build your IT career while working on exciting technologies and environments.

Work schedule is typically Monday through Friday from 8am to 5pm in-office or onsite with rotational on-call scheduling for work after-hours and on weekends.

Duties/Responsibilities

• Build and maintain deep technical expertise across datacenter technologies including virtualization, Windows Server, storage, backup/DR, datacenter networking, and identity/core services (AD/DNS/DHCP).
• Resolve complex, multi-layer support incidents involving availability, performance, recoverability, and security across compute, storage, virtualization, and infrastructure services in a multi-customer MSP environment. Work from RSI offices to diagnose and resolve both emergency and chronic problems related to availability, security, performance, connectivity, and overall functionality.
• Partner with Service Desk, Network, Security, and Projects teams to deliver customer outcomes and improve service maturity through standardization, documentation, and automation.
• Attend or participate in various product training sessions and classes in order to broaden your skillset while maintaining RSI’s vendor relationships
• Meet with customers to discuss and outline new approaches and configurations that improve and enhance their current environments
• Other work-related duties as assigned

Qualifications/Requirements

1-3 years of equivalent technology experience

Able to demonstrate associate level expertise or equivalent certification level in one or more of the following areas:

• Datacenter / Virtualization
• VMware vSphere/ESXi/vCenter (preferred) and/or Hyper-V
• Compute platforms such as Cisco UCS and/or HPE
• Windows Server / Core Services
• Active Directory, DNS, DHCP, Group Policy
• General Windows Server administration and troubleshooting
• Storage / Backup / DR
• SAN/NAS concepts (iSCSI, snapshots, replication)
• Backup systems and restore validation / DR testing
• Cloud
• Azure / Entra ID integration, hybrid identity, M365 dependencies
• Hands-on experience supporting solutions from some of the listed vendors above
• Experience administering phone systems (Cisco, etc.) preferred
• Contact Center administration experience preferred
• Strong interpersonal, written, and oral communication skills
• Strong analytical and problem-solving skills
• Strong customer service orientation
• Candidate must be able to conduct research into issues and problems
• Candidate must be able to present ideas in user-friendly language
• Candidate must be highly self-motivated and self-sufficient
• Candidate must be able to effectively prioritize tasks in a high-pressure environment
• Candidate would either need to have a valid Driver’s license and vehicle insurance, or confirm their ability and means to report to the office daily on work days as scheduled, as an essential job function for this role.

Compensation/Benefits

Compensation $70-90k Annually DOE

RSI offers competitive salary, comprehensive benefits package that includes group medical, dental and vision insurance, 401(k), life insurance/LTD, and PTO (Paid Time Off) for vacation, sick and personal leave needs.

Right! Systems provides equal employment opportunity to all employees and applicants for employment without regard to race, color, creed, citizenship, status, national origin, ancestry, gender, genetic information, sexual orientation, gender expression or identity, age, religion, pregnancy or pregnancy-related conditions, physical or mental disability, marital status, veteran status, political affiliation, or any other characteristic protected by law.

Job Title: Safety / Red Teaming Data Labeling Analyst III (DLA III)

Company: Meta AI (via Tundra Technical Solutions)

Location: Hybrid – 3 days onsite per week

Pay Rate: $30/hr USD

Experience Required: 4+ years

Contract: 3 months to start (Extension likely)

About the Role

Tundra Technical Solutions is hiring on behalf of Meta AI for a Safety / Red Teaming Data Labeling Analyst III (DLA III) to support AI model development and evaluation. This role is focused on improving model safety, quality, and reliability through data annotation, auditing, and adversarial testing.

You’ll work closely with cross-functional teams to evaluate model outputs, identify risks, and help strengthen safety systems through structured red-teaming efforts.

Key Responsibilities

• Execute high-quality data annotation and evaluation across multi-modal datasets
• Perform QA auditing, including sampling, inter-annotator alignment, and error analysis
• Design and run red-teaming / jailbreak prompts to test model safety across sensitive domains
• Analyze model outputs to identify policy violations, risks, and edge cases
• Apply knowledge of global political systems, events, and actors to inform content evaluation and policy enforcement
• Collaborate with stakeholders to improve labeling guidelines and model performance

Required Qualifications

• 4+ years of experience in data annotation, labeling, or evaluation
• Proven experience with QA auditing methodologies (sampling, alignment, error analysis)
• Hands-on experience with safety-focused red-teaming or adversarial testing
• Strong understanding of US and global political landscapes and current events
• Ability to apply policy frameworks to risk identification and content evaluation

Preferred Qualifications

• Experience working with LLMs (Large Language Models)
• Bachelor’s degree (preferred, not required)

Why Apply?

• Work at the forefront of AI safety and model evaluation
• Opportunity to contribute to large-scale AI systems at Meta AI
• Collaborative, fast-paced, and impactful environment

How to Apply

If you’re interested, please apply directly or share your resume and availability for a screening call at

Are you ready to earn money from the comfort of your own home? This exciting opportunity is perfect for anyone with a variety of skills and backgrounds whether you've been an administrative assistant, data entry clerk, typist, customer service rep, or even a driver!

• Flexibility at Its Best: Work part-time or full-time, from anywhere, and on a schedule that fits your life.
• No Experience? No Problem! Comprehensive training is provided to set you up for success.
• Variety of Opportunities: Choose from a range of career fields and find the perfect fit for your talents.

• Participate in research studies that contribute to meaningful outcomes.
• Enjoy the freedom of remote work while building your career.

This role is your chance to turn your skills into income while working in an environment that's convenient and accommodating. Don't wait take the first step toward a rewarding work-from-home career today!

Apply now and start building the flexible, fulfilling future you deserve.

• Computer with internet access
• Quiet work space away from distractions
• Must be able and comfortable to working in an environment without immediate supervision
• Ability to read, understand, and follow oral and written instructions.
• Data entry or administrative assistant experience is not needed but can be a bonus
• We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn

To get started, these are the essential elements you'll need!

• LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone.
• Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute.

• Work when you want
• Earn cash working part time or full time.
• Learn new skills that you can take anywhere.
• No degree required
• Supplement your existing job. No need to quit your current job, unless you really hate it.
• Excellent job for Stay at home moms, retired folks, disabled people and anyone looking to learn how to make income online.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.

The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.

What you'll do:

• 
  
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
  
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
  
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
  
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
  
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
  
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
  
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
  

What we're looking for:

• 
  
• 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
  
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
  
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
  
• Experience leading key technical projects.
  
• Strong Experimentation background.
  
• Statistical rigor. Experience with causal inference projects.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-NM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.

What you'll do:

• 
  
• Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.
  
• Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  
• Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.
  
• Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms.
  
• Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.
  
• Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
  
• Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
  
• Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  
• 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
  
• Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
  
• Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
  
• Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  
• Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
  
• Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Director - Data Center Engineering & Consultancy

(candidate must be based and eligible to work in Texas,Unites States)

We are partnering with a globally recognised engineering and infrastructure platform with deep expertise in the design and delivery of mission-critical digital infrastructures.

They are currently seeking a Director of Data Center Engineering & Consultancy to lead design and advisory engagements while supporting the delivery of complex data center projects across international markets, with a strong focus on the US.

The role combines technical leadership with commercial involvement, including advising clients on data centre design and best practices, leading multidisciplinary project teams, and supporting business development through proposals, RFP responses, and client engagement.

You'll be joining a business known for its deep engineering expertise and hands-on approach to delivering resilient, high-performance digital infrastructure.

Interested? Drop me a message or send your CV to

• Technical role focused on supporting market data applications and data feeds.
• Works in a cross-business technology unit collaborating with teams across APAC, EMEA, and North America in a follow-the-sun support model.
• Focus on issue resolution, process improvements, and product rollouts across multiple asset classes.

Key Responsibilities

• Provide support for core Market Data services and applications including:
• Open Bloomberg, LSEG Workspace, FactSet, Arcontech Excelerator, Market Axess and other platforms
• Provide technical support for broker and trading applications, including:
• Tradeweb, ICAP, Brokertec, Tullett Prebon, Tradition
• Coordinate vendor software packaging, including: Scripting, QA testing, Production releases
• Monitor production environments proactively and manage system changes.
• Participate in process improvement and hygiene metrics reviews.
• Manage daily operations, incident resolution, and change management activities.
• Work with engineering and build teams for smooth transition from project delivery to BAU (Business as Usual).
• Collaborate with external vendors to drive application strategy and support delivery.
• Take full ownership and accountability for issues and ensure vendors resolve root causes.

Essential Skills

• Experience with virtual desktop environments and streaming platforms.
• Strong proficiency in Microsoft Office tools.
• Knowledge of TCP/IP networking and connectivity troubleshooting.
• Strong communication skills to interact with traders, support teams, and vendors.
• Experience handling technical troubleshooting and high-priority incidents.
• Understanding of change management frameworks and ticketing systems.
• Knowledge of scripting languages such as:
• PowerShell
• Visual Basic
• Strong documentation and knowledge management practices.
• Self-motivated with strong time management and customer-focused approach.
• Ability to work independently and within teams under pressure.