Job Title: AI Training & Evaluation Contributor – Outlier (Scale AI)

Location Houston ( US )

Compensation: Up to $15 USD/hr, paid weekly (rates vary based on quality, accuracy, and time spent). Paid via PayPal & AirTM.

Job Description
Join a global community of talented professionals to shape the future of AI. Outlier partners experts with top AI labs to provide high-quality data for large language models (LLMs). You will contribute your expertise to improve AI systems by providing structured feedback, evaluating AI outputs, and helping train cutting-edge AI models. This is a flexible, remote opportunity that allows you to work on your own schedule.

Responsibilities

• Adopt a “user mindset” to produce realistic data for AI applications.

• Use rubrics to address user needs in a structured way.

• Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models.

• Contribute across projects based on your specific skills and experience.

Qualifications

• Education: Bachelor’s degree or currently enrolled.

• Analytical and Problem-Solving Skills: Ability to develop professional-level prompts and evaluate nuanced AI reasoning.

• Strong Writing: Clear, concise, and engaging writing to explain decisions or critique responses.

• Attention to Detail: Commitment to accuracy and assessing technical aspects of model outputs.

Nice to Have

• Experience in literature, creative writing, history, philosophy, theology, etc.

• Prior writing or editorial experience (content strategist, technical writer, editor, etc.).

• Interest or background in AI, machine learning, or creative tech tools.

Benefits

• Flexible schedule: Control your own time, typically 5–10 hours/week, up to 40 hours.

• Free access to Model Playground: Interact and experiment with leading large language models.

• Join a global community of coding and AI experts.

• Incentive payments may be offered for certain projects.

Equal Opportunity Employer
Outlier is committed to fostering a diverse and inclusive work environment. Applicants from all backgrounds are welcome.