Technical Writing Specialist

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

AuraOne is seeking a Technical Writing Specialist for a remote evaluation track. You will review prompts and responses, apply a quality rubric, and provide structured feedback to support retraining of the model.

You will compare outputs, label edge cases, and draft rationales to guide improvements. Responsibilities include evaluating model outputs, tagging issues, and calibrating judgments against gold examples on a contractor basis.

Qualifications

• Prior evaluation, annotation, or human-rater experience in technical writing evaluation or adjacent content.
• Clear written reasoning naming the issue and rubric clause.
• Strong attention to detail and ability to flag when a prompt is the problem.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and escalate rubric updates.
• Maintain reviewer-quality scores by calibration against gold-standard examples.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Technical Writing evaluation

Job description

Technical Writing Specialist is a remote evaluation track for reviewing technical writing 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.

Category: Frontier Model Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Technical Writing Specialist is a remote evaluation track for reviewing technical writing evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Technical Writing Specialist is a remote evaluation track for reviewing technical writing 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.
AI data reviewers help turn technical writing evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate technical writing evaluation model outputs against a versioned rubric and assign severity tags for Technical Writing 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.Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on technical writing evaluation or adjacent content for Technical Writing 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.

Example tasks

• Compare two technical writing 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.

Useful experience

• 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.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Technical Writing evaluation