Lingala Language Specialist, AI Trainer
Invisible Technologies
Quality Analyst Project Coordinator, French
Sama
contract
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
About the role
- Review and audit labeled datasets for text and image-based content to ensure accuracy, consistency, and adherence to guidelines.
- Document and share feedback with individual labelers; provide actionable and constructive feedback.
- Identify trends and insights in quality performance and mitigate quality issues.
- Communicate quality trends and calibrate with the customer on instructions and edge cases.
- Evaluate AI-generated responses for correctness, clarity, relevance, and alignment with task instructions.
- Apply Consumer Packaged Goods domain knowledge to classify and describe products.
- Collaborate with cross-functional teams to update labeling workflows and improve quality.
- Monitor performance metrics (e.g., accuracy rates, inter-rater agreement) and contribute to continuous improvement.
- Generate responses with intentional but realistic grammar, spelling, and structural errors as required.
- Run calibration sessions to align QA standards and help train new reviewers or analysts.
- Adapt quickly to evolving guidelines, new task types, and AI model updates; ensure documentation is up to date.
Requirements
- English as a second language - minimum C1 English proficiency required.
- C2 level of French.
- Ability to follow linguistic and situational writing prompts.
- Excellent written communication and coordination skills.
- 2 years working experience in a corporate/business environment.
- Prior experience in at least one of: Linguistic QA; Data annotation for NLP/AI projects; ESL/EFL teaching, editing, or copyediting.
- Keen eye for detail - spotting subtle grammar and structure issues others miss.
- Comfortable reviewing and providing feedback on structured data.
- Ability to give actionable and constructive feedback to annotators.
- Experience with creating and tracking timelines, milestones, and status reports is a plus.
- Preferred: C1 or C2 level English proficiency, familiarity with error tagging systems, experience in CPG industry/workflows or relevant retail product knowledge.
