Marketing, Media & Content Specialist
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 Subject Matter Expert (SME) in Market Intelligence, Media Production, or Technical Communications to author, evaluate, and calibrate high-fidelity domain tasks, realistic workplace scenarios, and benchmark evaluation rubrics.
This unified opening covers contributors across three specialized disciplines: Market Research & Analytics, Media Production & Direction, and Editorial & Technical Communications. Candidates will be placed in either an Expert Contributor (Mid-Level) or Senior Specialist / Reviewer (Senior Level) track based on overall domain depth, years of practical experience, and peer review background.
Requirements
- 3 to 15+ years of demonstrable industry experience within one of the target functional tracks.
Strong written communication and documentation skills, with an ability to justify editorial, methodological, or artistic critiques objectively.
High attention to detail, capable of identifying subtle logical inconsistencies, formatting errors, or rubric deviations.
Comfort operating within structured review cycles and fast-paced calibration environments.
Responsibilities
Benchmark Authoring & Task Design: Develop high-difficulty, specialized domain tasks, realistic workplace scenarios, and gold-standard solution sets tailored to your specific functional discipline.
Rubric Application & Scoring: Apply evaluation criteria defined by the Functional SME Lead to assess outputs with strict adherence to accuracy, terminology, and quality benchmarks.
Peer Review & Calibration (Senior Track): Review, calibrate, and critique pod members' outputs; resolve edge-case ambiguities and identify rubric discrepancies to ensure day-to-day quality control across the team.
Iterative Refinement: Incorporate calibration feedback and iterative critique rounds to align deliverables with pod standards.
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: 12 weeks
Evaluation Process -
- Applicants needs to submit Job Interest Form & complete the assessment.
- Final selected candidates will be contacted with the next steps and onboarding requirements.
