AI Software Engineering Domain Expert | $100-$200/hr Remote
Overview
An AI software engineering domain expert who works remotely on a part time contract. You’ll help shape how next generation AI systems learn and perform by refining technical content, prompts, and evaluation rubrics. Your domain knowledge will drive data-driven improvements, even if you’re new to AI itself. This role centers on high-quality engineering input, documentation, and rigorous review to guide model behavior.
What You'll Do7
- 1Review and polish AI-generated technical material for clarity and engineering accuracy.
- 2Design, refine, and test prompts and instruction sets to steer AI outputs toward reliable technical deliverables.
- 3Perform rubric based evaluations of AI results, delivering actionable feedback on quality and completeness.
- 4Draft and edit technical docs such as architecture diagrams, RFCs, design specs, and engineering proposals for AI training use.
- 5Conduct independent research and fact checking to verify technical claims and ensure data integrity.
- 6Annotate and interpret data to support nuanced evaluation and labeling tasks.
- 7Collaborate asynchronously with project leads and teammates to meet milestones within given guidelines.
Requirements3
- 1Minimum 3 years in software engineering or related roles such as Senior Engineer, Tech Lead, or Solutions Architect.
- 2Proven ability to author or review technical artifacts including docs, architecture files, RFCs, and engineering proposals.
- 3Strong critical thinking, analytical reasoning, and attention to detail with a commitment to high quality in technical outputs.
Who Should Apply
Ideal candidates are experienced software engineers who bring rigorous thinking and precise communication. You should enjoy shaping AI behavior through careful content review, documentation, and evaluation, even if AI domain specifics are new to you.
Salary Insight
Contract role paying between $100 and $200 per hour, remote and part time.
Location
Required Skills
Application Tip
Prepare a concise portfolio snippet showing how you improved a technical document or RFC, including before and after examples and a brief note on impact.
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