Data Annotation Generalist

aitrainer; Deutschland; Vor Ort; EUR 20.005 - 28.492; Teilzeit

Zusammenfassung

aitrainer is seeking a Data Annotation Generalist to work remotely at $20/hour. In this role, you'll apply your expertise to label and annotate datasets that help train next-generation AI systems.

Your attention to detail and commitment to quality will shape how AI models learn and perform. This position does not require prior experience in AI but values your domain knowledge across various fields.

Join us to contribute to high-quality training data and support AI development!

Qualifikationen

• Expert-level proficiency in data annotation or labeling for machine learning applications.
• Exceptional attention to detail and commitment to delivering accurate, high-quality work.
• Outstanding written and verbal communication skills.

Aufgaben

• Label, categorize, and annotate diverse datasets accurately.
• Review and validate data annotations to maintain integrity.
• Collaborate with the customer’s team to clarify requirements.

Kenntnisse

Expert-level proficiency in data annotation

Attention to detail

Written communication skills

Ability to follow complex instructions

Time management in a remote environment

Experience with annotation tools

Analytical skills

Ausbildung

Background in linguistics, computer science, data science

Tools

Data annotation tools

Jobbeschreibung

Data Annotation Generalist

$20 - $20/hour (Contractor – Remote)

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real‑world expertise into high‑quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Job Summary: In this role, you’ll apply your expertise to help train next‑generation AI systems. Your work will shape how models learn, reason, and perform through high‑quality, real‑world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

• Label, categorize, and annotate diverse datasets with consistency and precision, ensuring adherence to project guidelines and quality standards.
• Review, validate, and correct data annotations to maintain the highest levels of data integrity.
• Collaborate closely with the customer’s team to clarify requirements and resolve ambiguities in data labeling tasks.
• Document annotation processes and maintain clear records to support project transparency.
• Provide feedback to optimize annotation tools, workflows, and guidelines as projects evolve.
• Communicate effectively through written and verbal channels to share insights, raise issues, and recommend improvements.
• Adapt to new annotation projects, data types, and evolving instructions as the customer’s needs change.

Required Skills and Qualifications:

• Expert-level proficiency in data annotation, labeling, or data preparation for machine learning applications.
• Exceptional attention to detail and a commitment to delivering accurate, high‑quality work.
• Outstanding written and verbal communication skills, with a focus on clarity and collaboration.
• Ability to interpret complex instructions and apply them consistently across large datasets.
• Comfort working independently in a remote environment, managing time and priorities effectively.
• Experience with annotation tools or platforms commonly used in data science or AI development.
• Strong analytical skills and a problem‑solving mindset.

Preferred Qualifications:

• Background in linguistics, computer science, data science, or a related field.
• Previous experience contributing to AI training or natural language processing projects.
• Familiarity with multiple data modalities, such as text, image, audio, or video annotation.