About the role:
We are looking for a highly skilled Quality Analyst Project Coordinator to support the development of advanced AI tools for product attribution, classification and other purposes. This project focuses on creating a rich and diverse dataset of written German text, annotated and corrected by humans.
Responsibilities:
- Review and audit labeled datasets for both text and image-based content to ensure accuracy, consistency, and adherence to guidelines.
- Document and share feedback with the individual labelers
- Identify trends and insights in quality performance, and effectively mitigate quality performance issues.
- Communicate quality trends and insights to the customer. Calibrate with the customer on instructions and edge cases.
- Evaluate responses generated by AI, verifying correctness, clarity, relevance, and alignment with task instructions.
- Apply knowledge of Consumer Packaged Goods domain to accurately classify and/or 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 initiatives.
- Generate responses with intentional but realistic grammar, spelling, and structural errors.
- calibration sessions to align QA standards across teams and help train new reviewers or analysts.
- Adapt quickly to evolving guidelines, new task types, and AI model updates in a fast-paced, iterative environment.
- Ensure that documentation is up to date.
Qualifications:
- English as a second language - minimum C1 English proficiency required.
- C2 level of German
- 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 the following:
- 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 Qualifications:
- C1 or C2 level English proficiency.
- Familiarity with error tagging systems is a big plus.
- Experience in CPG industry/workflows, or other relevant knowledge of retail products.
NB: This is a temporary, project-based position with the possibility of renewal. While this role will be on payroll, please note that benefits are not included as part of this position.
Apply on company website Germany Remote; Nairobi, Nairobi, Kenya Remote (Country) Contract
Sama is hiring a Quality Coordinator (German)
About company
Sama is a leading provider of data annotation and validation services, specializing in high-quality training data for artificial intelligence and machine learning applications. The company offers a comprehensive suite of services including image, video, 3D point cloud, and text annotation, supporting industries such as autonomous vehicles, robotics, retail, and generative AI.
Through its proprietary platform, Sama enables organizations to develop advanced AI models by transforming raw data into structured, annotated datasets. The company emphasizes data quality, security, and ethical AI practices, serving both foundation model development and specialized AI use cases across multiple sectors.
Sama is committed to social impact and sustainability, operating as a B Corp and focusing on equitable employment practices. Its services are designed to support continuous model improvement, data validation, and large-scale AI deployment with a focus on accuracy and reliability.