Remote Technical Writing Evaluation Specialist

AuraOne; United States; On-site; USD 34,000 - 55,000; Part time

Job summary

AuraOne is seeking a Technical Writing Specialist as a remote contractor to review evaluation prompts and model outputs against a quality rubric. You will compare paired responses, label edge cases, and provide structured feedback to retrain the system.

Ideal candidates will have prior evaluation or annotation experience, strong attention to detail, and the ability to work asynchronously for at least 10 hours per week from the US.

Qualifications

• 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.

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.
• 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

Technical Writing evaluation

Job description

AuraOne is seeking a Technical Writing Specialist as a remote contractor to review evaluation prompts and model outputs against a quality rubric. You will compare paired responses, label edge cases, and provide structured feedback to retrain the system.

Ideal candidates will have prior evaluation or annotation experience, strong attention to detail, and the ability to work asynchronously for at least 10 hours per week from the US.