SWE Front-End — Visual Document Understanding

AI Trainer Jobs; United States; Remote; USD 6,199,000 - 7,577,000; Full time

Benefits offered by this job

Remote work

Contractor role

Competitive pay

Job summary

AI Trainer Jobs is seeking reviewers for SWE Front-End — Visual Document Understanding in a remote contractor role. You will evaluate document annotation outputs, apply a structured rubric, and provide clear rationales to help retrain models.

Candidates should have strong attention to detail and experience with inter-rater calibration. The position offers remote work for US-eligible contractors, with compensation of $50 per hour and flexible weekly hours.

Qualifications

• Experience in evaluating document annotation or related content.
• Ability to apply rubrics consistently across long batches.
• Clear written reasoning that explains the issue and rubric clause.

Responsibilities

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

Skills

Document annotation

Rubric-based evaluation

Inter-rater calibration

Edge-case labeling

Reasoning clarity

Job description

SWE Front-End — Visual Document Understanding is a remote evaluation track for reviewing document annotation 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: Multimodal Evaluation Pay: $50 / hr Location: Remote - US-eligible Contractor

SWE Front-End — Visual Document Understanding is a remote evaluation track for reviewing document annotation prompts and responses against AuraOne's quality rubric.

About the role

SWE Front-End — Visual Document Understanding is a remote evaluation track for reviewing document annotation 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 document annotation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Judge model behavior on text, images, and documents. Also on mixed-input tasks.

Responsibilities

• Evaluate document annotation model outputs against a versioned rubric and assign severity tags for SWE Front-End — Visual Document Understanding 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.

Role details

Track Evaluation & annotation Work model Remote Independent specialist contractor Compensation $50 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on document annotation or adjacent content for SWE Front-End — Visual Document Understanding 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 document annotation 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

$50 / hr
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
• Document annotation