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Marketing, Media & Content Specialist

See listing · Turing · remote

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27 Oct 2026Open––Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

Most people who don't get in fail the screening, not the CV. Five minutes here first: How to pass the Turing assessment and interviews.

What the work is

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.

Who gets hired

  • 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.

The platform posted this on 26 Oct 2026.

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