Information Technology Jobs in Compton

We're on the hunt for curious, motivated individuals to test and review online money-making opportunities featured on FinanceBuzz. If you enjoy discovering new platforms and sharing your experience, this flexible gig could be perfect for you.

Responsibilities:

• Explore and try various side hustle options (cashback sites, survey apps, etc.)

• Document and report your experience with each platform

• Track potential earnings and ease of use

• Share insights to help improve user recommendations

Requirements:

• Basic tech skills and a stable internet connection

• Comfortable navigating apps and websites

• Ability to work independently

• No prior experience required

Benefits:

• Set your own schedule – work anytime, from anywhere

• Try real ways to earn money online

• Get paid to share honest feedback

• Ideal for side-income seekers, students, or remote workers

Start exploring side hustle opportunities here.

We’re offering a role for someone who wants to lead their own side-income project in their spare time. You’ll explore various proven side hustles, select the ones that fit your lifestyle, and run them like mini projects.

You’ll get curated content to guide your decisions. The goal is to find manageable, sustainable income streams that don’t interfere with your full-time role.

Responsibilities:

• Evaluate side-hustle options and pick those you believe you can execute

• Plan and carry out your selected projects or tasks

• Track metrics—time invested, return, conversion rates

• Refine your focus toward the best-performing hustles

Requirements:

• Employed full time or committed to another primary role

• Basic skills for remote work (internet, device)

• Project mindset: set goals, measure outcomes, adjust

• Persistence and consistency

Strong Traits:

• Analytical

• Willing to adapt

• Growth-oriented

Benefits:

• No fixed schedule

• Remote and flexible

• Ability to scale your side work over time

• Tools and guidance included

This position is for individuals who want to develop a side income stream while still working full time. You will test different small-scale remote opportunities, learn what works, and grow what produces results.

You’ll use the resources provided to guide you, but your path is self-driven. Over time, you might focus more on the hustles that bring the highest returns.

Responsibilities:

• Review and apply different side-hustle ideas tailored for people with full jobs

• Execute tasks, manage projects or gigs you select

• Keep a simple record of your time vs. earnings

• Iterate and improve your approach as you go

Requirements:

• Stable full-time job or core commitment

• Access to internet and device for remote work

• Willingness to test ideas and adapt

• Organization, follow-through, and consistency

Bonus Skills:

• Ability to analyze which hustles are viable

• Comfort with trial and error

• Some prior side-gig experience (but not required)

Benefits:

• Fully remote

• Flexible hours

• Potential to grow side income steadily

• No micromanagement

Data analyst los angeles, ca Data analyst los angeles, ca 

Global Data is a team focused on producing international data for LLMs.

For the training of large models, data is the lifeline of model quality - and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.

As a key member of our LLM Global Data Team, the LLM Training Operations Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets.

This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Key Responsibilities and Duties: - Project Management: Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met.

Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course.

Build and maintain strong relationships with product managers, engineers, researchers, data annotators, and other cross-functional team members.

Communicate project updates, address concerns, and align expectations to ensure successful project outcomes.

Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

- Workflow Design and Management: Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs.

Collaborate closely with product managers, engineers, and cross-functional teams to ensure alignment on quality metrics and project expectations.

- Operational Improvement: Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data.

Lead and support general annotation operation improvement initiatives across various data domains.

Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

- Data Checking and Analysis: Design and implement data analysis strategies for LLM coding projects.

Analyze annotation quality, model performance, and dataset coverage using statistical and programmatic methods.

Identify data gaps and failure patterns through slice-based evaluations and error analysis.

Use Python (Pandas, NumPy, Matplotlib) and SQL to generate insights and support model training operations.

Collaborate with researchers to inform training strategies and data improvements.

- Team Leadership and Collaboration: Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs.

Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Minimum Qualifications: - 3+ years of experience in project or operations management roles.

- Experience with programming languages such as Python, Java, Go, or C, acquired through coding projects, or technical, project manager, or scrum master roles in software engineering teams.

- Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

- Strong project management skills, with the ability to design, manage, and optimize complex workflows.

- Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

Preferred Qualifications - Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

- Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

- Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

- Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

- Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

- Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.