[Remote] Technical Writer - Remote
Note: The job is a remote job and is open to candidates in USA. YO AI Labs is seeking experienced Technical Writers to contribute to an AI benchmark project. The role involves creating realistic evaluation tasks, developing source materials, defining expected solutions and grading rubrics, and assessing AI-generated outputs for accuracy, clarity, and audience alignment.
Responsibilities
- Design realistic technical evaluation tasks using CSVs, PDFs, spreadsheets, code samples, and technical documents
- Create and curate source materials such as product specifications, SME notes, regulatory documents, and technical references
- Define expected solutions, acceptance criteria, and output requirements
- Develop detailed 35+ point grading rubrics covering accuracy, precision, testability, and audience alignment
- Create documentation tasks including API references, user guides, technical instructions, and compliance documents
- Synthesize complex source material into clear, precise, and actionable documentation
- Collaborate asynchronously with project teams to refine deliverables
Skills
- • Precision Writing
- • Source Synthesis
- • Audience Calibration
- • Technical Writing
- • Structured Authoring
- • Documentation
- • Analytical Reasoning
- • Technical Editing
- • Acceptance Criteria & Rubric Development
- • 2–4+ years of technical writing experience with a portfolio in software, hardware, medical devices, or regulated industries
- • Strong ability to create precise, testable technical documentation and instructions
- • Experience with style guides, structured authoring, and documentation toolchains
- • Exceptional written English with the ability to adapt tone and technical depth for different audiences
- • Strong analytical and synthesis skills
- • Experience creating acceptance criteria or evaluation rubrics is a plus
- • Familiarity with technical benchmarking or evaluation methodologies is desirable
Benefits
- Remote work arrangement
- Asynchronous collaboration with project teams
- Compensation is output-based, with payment per approved task.
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