MS Excel / Google Sheets Evaluator

AI Trainer Jobs; United States; Remote; USD 110,000 - 207,000; Full time

Job summary

AuraOne is seeking a remote MS Excel / Google Sheets Evaluator to review evaluation prompts and responses against the AuraOne rubric. You will compare outputs, label edge cases, and provide structured feedback to help retrain the model.

The role is a contractor position with pay between $80 and $150 per hour, US-eligible, and requires reliable asynchronous availability of at least 10 hours per week.

Qualifications

• Prior evaluation, annotation, or human-rater experience on MS Excel / Google Sheets evaluation.
• 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 evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger one with 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.

Skills

Attention to detail

Clear written reasoning

Async availability

Evaluation experience

Tools

MS Excel

Google Sheets

Job description

MS Excel / Google Sheets Evaluator is a remote evaluation track for reviewing ms excel / google sheets 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: $80–$150 / hr · Location: Remote — US-eligible · Contractor

MS Excel / Google Sheets Evaluator is a remote evaluation track for reviewing ms excel / google sheets evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

MS Excel / Google Sheets Evaluator is a remote evaluation track for reviewing ms excel / google sheets evaluation prompts and responses against AuraOne's quality rubric. Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.
AI data reviewers help turn ms excel / google sheets 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 ms excel / google sheets evaluation model outputs against a versioned rubric and assign severity tags for MS Excel / Google Sheets Evaluator 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 $80–$150 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on ms excel / google sheets evaluation or adjacent content for MS Excel / Google Sheets Evaluator 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 ms excel / google sheets 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

$80–$150 / 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
• MS Excel / Google Sheets evaluation
• Required Skills
• Basic Qualifications
• Eligibility

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.