Screenshot Understanding Dataset QA Specialist at AuraOne Human Data Remote

Ellenco Estágios e Treinamentos; United States; Remote; USD 34,000 - 55,000; Full time

Benefits offered by this job

Remote work

Asynchronous collaboration

Job summary

AuraOne is seeking a remote, contractor QA Specialist to review screenshot understanding dataset QA prompts and responses. You will assess outputs against a versioned rubric, tag edge cases, and provide structured feedback to help retrain the model.

Responsibilities include comparing paired responses, labeling unsafe content, and documenting recurring failure modes for improvement. Strong attention to detail and async availability are essential.

Qualifications

• Prior evaluation or annotation experience on screenshot QA tasks.
• Ability to apply rubrics consistently across long batches.
• Clear written reasoning naming issues and rubric clauses.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and justify the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content.
• Capture ambiguous prompts and route to rubric updates.
• Calibrate reviewer quality against gold-standard examples weekly.
• Document recurring failure modes for guidance to the training team.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Screenshot Understanding Dataset QA

Multimodal evaluation

Cross-modal reasoning

Grounding review

Attention to detail

Job description

Screenshot Understanding Dataset QA Specialist is a remote evaluation track for reviewing screenshot understanding dataset qa 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 screenshot understanding dataset qa evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate screenshot understanding dataset qa evaluation model outputs against a versioned rubric and assign severity tags for Screenshot Understanding Dataset QA 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.

Qualifications

• Prior evaluation, annotation, or human-rater experience on screenshot understanding dataset qa evaluation or adjacent content for Screenshot Understanding Dataset QA 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 screenshot understanding dataset qa 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
• Screenshot Understanding Dataset QA evaluation
• Multimodal evaluation
• Cross-modal reasoning
• Grounding review
• Screenshot
• Understanding

Work model

Remote — US-eligible.

Remote Independent specialist contractor.

Employment type

CONTRACTOR.

Compensation

Hourly rate confirmed after the interview process.

Eligibility

Applicants must be authorized to work from US.

Reliable async availability for at least 10 hours per week.