French Linguistic Expert

AI Trainer Jobs; United States; Remote; USD 57,000 - 81,000; Full time

Job summary

AuraOne is seeking a French Linguistic Expert to remotely evaluate generalist prompts and responses, applying a strict rubric to label edge cases and provide structured feedback for retraining.

You will compare outputs, assign severity tags, and help calibrate the team with ongoing quality checks across batches to ensure consistent evaluation.

Qualifications

• Prior evaluation, annotation, or human-rater experience in french generalist evaluation or adjacent content.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate french generalist evaluation model outputs against a versioned rubric and assign severity tags for French Linguistic Expert 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

French generalist evaluation

Job description

French Linguistic Expert is a remote evaluation track for reviewing french 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: $50 / hr Location: Remote — US-eligible Contractor

French Linguistic Expert is a remote evaluation track for reviewing french generalist evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

French Linguistic Expert is a remote evaluation track for reviewing french 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 french 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 french generalist evaluation model outputs against a versioned rubric and assign severity tags for French Linguistic Expert 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 french generalist evaluation or adjacent content for French Linguistic Expert 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 french 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

$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
• French generalist evaluation

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.