Browser Automation and Tool-Use Specialist

AuraOne; United States; On-site; USD 28,000 - 41,000; Part time

Job summary

AI Trainer Jobs is seeking a remote Browser Automation and Tool-Use Specialist to evaluate model outputs against rubrics and provide structured feedback. You will compare paired responses, assign severity tags, and label content issues to support retraining efforts.

Prior evaluation experience and strong reasoning are essential for success. The role is a contractor position with hourly compensation, requiring reliable async availability of at least 10 hours per week and strict attention to

Qualifications

• Prior evaluation, annotation, or human-rater experience on browser automation and tool use evaluation or adjacent content for Browser Automation and Tool-Use 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 browser automation and tool use evaluation model outputs against a versioned rubric and assign severity tags for Browser Automation and Tool-Use 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.

Skills

Model evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

Browser automation

AI evaluation

Rubric writing

Expert review

Job description

About the role

Browser Automation and Tool-Use Specialist is a remote evaluation track for reviewing browser automation and tool use 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 browser automation and tool use evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review browser automation and multi-step search agents. Check whether sources hold up.

Responsibilities

• Evaluate browser automation and tool use evaluation model outputs against a versioned rubric and assign severity tags for Browser Automation and Tool-Use 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.

Role details

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 browser automation and tool use evaluation or adjacent content for Browser Automation and Tool-Use 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.

Role signals

Example tasks

• Compare two browser automation and tool use 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
• Browser Automation and Tool Use evaluation
• Software engineering and computer use
• AI evaluation
• Rubric writing
• Expert review

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.
  Placement timing depends on program demand and reviewer confirmation.