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Computer Science Doctoral Fellow for AI Training

Up to $75/hr (depending on the project)

RemotePart-timetechnology
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About this role

Role Overview

Computer Science experts apply advanced research and domain knowledge to improve large language models by designing domain-specific prompts, evaluating model outputs, and conducting topic research assisted by AI. This role supports ongoing AI research projects that run year-round, with specific project assignments dependent on availability in each domain.

Key Responsibilities
  • Develop domain-specific prompts and tasks for large language models.
  • Evaluate and annotate model responses for accuracy, clarity, and domain fidelity.
  • Perform independent research on topics of interest, using AI tools to assist investigation and synthesis.
  • Learn and adopt new techniques relevant to AI model evaluation and prompt engineering while contributing domain expertise.
  • Work asynchronously with project teams and partner AI labs to meet project goals and deliverables.
Qualifications
  • Doctoral students, doctoral candidates, recent PhD graduates, or individuals in postdoctoral positions in Computer Science.
  • Experience or comfort with independent, primarily asynchronous work alongside research teams or external AI labs.
  • Confidence that your subject-matter expertise exceeds current AI systems in explaining and reasoning about key concepts in your field.
Work Terms
  • Employment type: PART_TIME.
  • Remote, asynchronous work from any location.
  • Flexible hours, with no minimum weekly-hour commitment required.
  • Project placement is not guaranteed, assignment depends on current project availability by domain.
  • The program accepts contributions year-round, however specific projects and openings will vary over time.
Compensation
  • Up to $75/hr (depending on the project).
Eligibility
  • F-1 international students may be eligible if they have valid CPT or OPT authorization, but you must confirm eligibility with your Designated School Official before accepting work.
  • If your school requires enrollment in a CPT course for off-campus work, this program may not meet that requirement.
  • STEM OPT is not supported for participation in this program.
  • Refer to the program Help Center documentation for full details on accepted work authorizations and requirements.
Application Process
  • Create a profile on the program portal and submit the requested information.
  • Complete identity verification as part of eligibility checks.
  • Select and onboard into projects that match your expertise, completing any required project-specific onboarding steps.
  • Begin assigned tasks and receive payment according to the project terms.

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