English Generalist

AI Trainer Jobs; United States; Remote; USD 83,000 - 138,000; Part time

Job summary

AuraOne is seeking an English Generalist to remotely evaluate prompts and responses against our quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback to retrain the modeling team.

Strong English, attention to detail, and the ability to apply rubrics consistently are essential. This remote contractor role requires reliable 10+ hours per week and offers $20–$100 per hour depending on tasks.

Qualifications

• Prior evaluation, annotation, or human-rater experience on english generalist evaluation or adjacent content for English Generalist work.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Experience with inter-rater agreement metrics and calibration cycles.

Responsibilities

• Evaluate english generalist evaluation model outputs against a versioned rubric and assign severity tags for English Generalist 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.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

English Generalist evaluation

Advanced English proficiency

AP Style

Copyediting

language models

Linguistics

proofreading

Reading comprehension

Tools

Job description

Role details

English Generalist is a remote evaluation track for reviewing english generalist 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: $20–$100 / hr · Location: Remote — US-eligible · Contractor

English Generalist is a remote evaluation track for reviewing english generalist 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 english generalist evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

About the role

English Generalist is a remote evaluation track for reviewing english generalist 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 english generalist 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 english generalist evaluation model outputs against a versioned rubric and assign severity tags for English Generalist 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.

What you should bring

• Prior evaluation, annotation, or human-rater experience on english generalist evaluation or adjacent content for English Generalist 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 english generalist 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

$20–$100 / 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
• English Generalist evaluation
• Advanced English proficiency
• AP Style
• Copyediting
• language models
• Linguistics
• proofreading
• Reading comprehension

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.