> Markdown version of [/jobs/ext/1470964-factuality-evaluation-model-evaluation-specialist](https://www.wearedevelopers.com/jobs/ext/1470964-factuality-evaluation-model-evaluation-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Factuality Evaluation Model Evaluation Specialist

- **Company:** Human Union Data, Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Model Validation
- **Published:** July 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8eafb6d79f7eae38

## About the Role

* Prior evaluation, annotation, or human-rater experience on factuality evaluation model evaluation evaluation or adjacent content for Factuality Evaluation Model Evaluation Specialist 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., * 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., * Model output evaluation
 * Rubric-based annotation
 * Severity tagging
 * Inter-rater calibration
 * Factuality Evaluation Model Evaluation evaluation
 * Frontier evaluation
 * Rubric calibration
 * Failure analysis
 * Factuality
 * Evaluation

Work model

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

## Description

Factuality Evaluation Model Evaluation Specialist is a remote evaluation track for reviewing factuality evaluation model evaluation 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 factuality evaluation model evaluation evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data., * Evaluate factuality evaluation model evaluation evaluation model outputs against a versioned rubric and assign severity tags for Factuality Evaluation Model Evaluation Specialist 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., * 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.


## Related Videos

- [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk)
- [Lies, Damned Lies and Large Language Models](https://www.wearedevelopers.com/videos/1231-lies-damned-lies-and-large-language-models)
- [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai)
- [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak)
- [Outclassing Frontier LLMs at Extracting Information](https://www.wearedevelopers.com/videos/100303-outclassing-frontier-llms-at-extracting-information)
- [Building Trustworthy AI in Industry: Beyond Traditional Cybersecurity](https://www.wearedevelopers.com/videos/1948-building-trustworthy-ai-in-industry-beyond-traditional-cybersecurity)

## Related Articles

- [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)
- [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)
- [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)
- [The Rise of Disinformation on the Web](https://www.wearedevelopers.com/magazine/539-the-rise-of-disinformation-on-the-web)
- [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)