About Turing
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Role Overview
We are seeking a Senior Technical Writing & Editing Expert for a frontier AI data initiative. Experts will design, evaluate, and refine high-difficulty tasks to improve the reliability and usefulness of frontier AI agents within complex digital-corporate settings (think: documentation platforms, developer portals, style guides, release notes, Slack, E-mail, repository readmes, and cross-functional communications). Experts will leverage deep content governance expertise to build gold-standard tasks that test editorial standards, technical documentation architecture, style guide enforcement, content governance, and the clear explanation of highly complex concepts.
Requirements
- 8–15 years of hands-on experience in Technical Writing, Editorial Strategy, Content Architecture, or Documentation Engineering.
- Demonstrated experience owning, creating, or maintaining enterprise style guides (e.g., Microsoft Manual of Style, Google Developer Documentation Style Guide, Chicago Manual of Style) and content governance frameworks.
- Deep domain expertise in editorial standards, single-sourcing, documentation systems (e.g., Markdown, Docs-as-Code, DITA, Notion, Confluence), and translating highly technical or complex subjects into clear, structured, and accessible content.
- Proven track record of producing executive-grade documentation deliverables, including style guides, API/technical specifications, architecture overviews, developer guides, content migration plans, and comprehensive editorial reviews.
- Advanced ability to evaluate technical content for accuracy, voice, tone, structural organization, terminology consistency, and accessibility, while assessing both the final artifact and the underlying editorial rationale.
- Demonstrated ability to author high-difficulty prompts, complex editing scenarios, and gold-standard evaluation rubrics for AI models is strongly preferred.
Responsibilities
- Author high-difficulty expert tasks and gold-standard solutions covering complex technical documentation, style guide enforcement, content strategy, and structural editing.
- Review, calibrate, and critique output from team members to enforce rigorous editorial and technical quality standards across the pod's deliverables.
- Define task context, required reference materials, expected deliverables, and rubrics that distinguish exceptional, acceptable, and deficient work.
- Verify task feasibility, technical accuracy, and practical realism using provided tools, raw technical inputs, and simulated documentation environments.
- Identify and escalate edge cases, rubric ambiguities, or domain edge cases directly to the Functional SME Lead.
- Participate in calibration and revision cycles, incorporating feedback to continuously elevate task complexity and editorial precision.
Education & Experience
- Bachelor's degree or equivalent practical experience in any field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
Offer Details:
- Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: 9 weeks
Evaluation Process -
- Shortlisted candidates will be sent a Job Interest Form.
- Final selected candidates will be contacted with the next steps and onboarding requirements.