French Data Labeler for Speech AI – Onsite Role

Welocalize, Inc.; California; On-site; USD 28,000 - 50,000; Full time

Benefits offered by this job

Paid vacation 6 days

Company holidays 2 days

Sick leave as per state law

Medical, dental, vision insurance

Health Savings Account

401(k) retirement plan

Employee assistance program

Voluntary benefits

Job summary

Welocalize, Inc. invites applications for a Data Labeling Analyst role focused on French language data to support speech and voice AI systems. This on-site position emphasizes producing high-quality, well-structured datasets through careful labeling and feedback.

You will evaluate AI model outputs, audit data, and help refine evaluation frameworks. The role requires strong attention to detail, reliability across repetitive tasks, and the ability to communicate findings clearly with

Qualifications

• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback
• Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
• Apply guidelines thoughtfully — and flag when they don't reflect real-world scenarios
• Contribute to improving evaluation frameworks, not just executing them
• Identify trends in model performance and communicate insights clearly
• Participate in team discussions, calibrations, and stakeholder syncs
• Partner with leads and cross-functional teams to refine quality standards
• Document findings in a clear, concise, and actionable way

Skills

French fluency

Communication skills

Attention to detail

Time management

Process-driven

Questioning

Education

Bachelor's degree or equivalent

Job description

Welocalize, Inc. invites applications for a Data Labeling Analyst role focused on French language data to support speech and voice AI systems. This on-site position emphasizes producing high-quality, well-structured datasets through careful labeling and feedback.

You will evaluate AI model outputs, audit data, and help refine evaluation frameworks. The role requires strong attention to detail, reliability across repetitive tasks, and the ability to communicate findings clearly with