Video Content Lead

AuraOne

United States

Remote

USD 34,000 - 62,000

Full time

4 days ago
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Benefits offered by this job

Contractor
Remote work
Hourly pay after interview

Job summary

AuraOne is seeking a remote Video Content Lead evaluator to review model outputs and apply a versioned rubric for quality assessment.

You will compare paired responses, label edge cases, and provide written rationales to guide model retraining, calibration, and improvement.

This contractor role requires independence, strong attention to detail, and a US-eligible remote setup with at least 10 hours per week.

Qualifications

  • Prior evaluation, annotation, or human‑rater experience on video content lead evaluation or adjacent content.
  • Clear written reasoning that names the issue and the rubric clause being applied.
  • Strong attention to detail and the ability to flag when a prompt itself is the problem.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Evaluate video content lead evaluation model outputs against a versioned rubric and assign severity tags for Video Content Lead assignments.
  • Compare paired responses and pick the stronger answer with a written rationale.
  • Label hallucinations, instruction-following failures, and unsafe content with structured tags.
  • Capture ambiguous prompts and route them back to the program team for rubric updates.
  • Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
  • Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation
Rubric-based annotation
Severity tagging
Inter-rater calibration
Video Content Lead evaluation
Design

Job description

Category: Video, Vision & Spatial AI · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Video Content Lead is a remote evaluation track for reviewing video content lead evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

Why this role matters

AI data reviewers help turn video content lead evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate video content lead evaluation model outputs against a versioned rubric and assign severity tags for Video Content Lead assignments.
  • Compare paired responses and pick the stronger answer with a written rationale.
  • Label hallucinations, instruction-following failures, and unsafe content with structured tags.
  • Capture ambiguous prompts and route them back to the program team for rubric updates.
  • Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
  • Document recurring failure modes so the modeling team can target them in the next training run.
Qualifications
  • Prior evaluation, annotation, or human‑rater experience on video content lead evaluation or adjacent content for Video Content Lead work.
  • Comfort applying multi‑page rubrics consistently across long batches.
  • Clear written reasoning that names the issue and the rubric clause being applied.
  • Strong attention to detail and the ability to flag when a prompt itself is the problem.
  • Reliable async availability for at least 10 hours per week.
Example tasks
  • Compare two video content lead evaluation model responses to the same prompt and pick the stronger one with rationale.
  • Tag an unsafe response with the correct policy category and severity.
  • Audit a 50‑row batch for rubric consistency and report drift to the program lead.
  • Propose a rubric clarification after spotting a recurring failure mode.
Nice to have
  • Background in linguistics, content moderation, or trust & safety review.
  • Experience with inter‑rater agreement metrics and calibration cycles.
  • Domain expertise that lets you spot subject‑matter errors automated checks miss.
Skills
  • Model output evaluation
  • Rubric-based annotation
  • Severity tagging
  • Inter‑rater calibration
  • Video Content Lead evaluation
  • Design
Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

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