Negotiable
Undetermined
Remote
EMEA
Summary: Join a remote team as a Data Annotator focusing on English language data to support AI and machine learning projects. This role requires attention to detail and strong communication skills to create high-quality labeled datasets. The position involves collaboration with cross-functional teams and a commitment to maintaining productivity and quality standards. Ideal candidates will have experience in data annotation and a passion for data quality.
Key Responsibilities:
- Carefully label and annotate large volumes of English-language data according to detailed project guidelines.
- Review and validate annotations to ensure consistency, accuracy, and adherence to defined standards.
- Collaborate with cross-functional teams to resolve ambiguities and improve annotation quality.
- Provide insightful feedback on annotation guidelines to drive continuous process optimization.
- Maintain high productivity while meeting or exceeding quality benchmarks and project deadlines.
- Document issues, escalate potential inconsistencies, and proactively communicate status updates to the team.
- Participate in training sessions to stay updated on evolving annotation protocols and tools.
Key Skills:
- Fluent in English with exceptional written and verbal communication abilities.
- Be able to commit 40 hours a week for this position.
- Proven experience in data annotation, data labeling, or a related field.
- Meticulous attention to detail and a commitment to delivering accurate results.
- Strong organizational and time management skills in a remote work environment.
- Proficiency with annotation platforms, productivity tools, and digital communication channels.
- Ability to work independently and follow complex instructions.
- Demonstrated problem-solving skills and adaptability to changing project requirements.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Job Title: Data annotation - English speaker
Job Type: Contract (Full-time)
Location: Remote
Job Summary
Join our customer's team as a Data Annotation - English speaker and play a critical role in powering cutting-edge AI and machine learning initiatives. In this fully remote position, you’ll leverage your attention to detail and strong communication skills to create high-quality labeled datasets essential for technology advancements. If you thrive in a fast-paced, collaborative environment and are passionate about data quality, we invite you to contribute to impactful projects with global reach.
Key Responsibilities
- Carefully label and annotate large volumes of English-language data according to detailed project guidelines.
- Review and validate annotations to ensure consistency, accuracy, and adherence to defined standards.
- Collaborate with cross-functional teams to resolve ambiguities and improve annotation quality.
- Provide insightful feedback on annotation guidelines to drive continuous process optimization.
- Maintain high productivity while meeting or exceeding quality benchmarks and project deadlines.
- Document issues, escalate potential inconsistencies, and proactively communicate status updates to the team.
- Participate in training sessions to stay updated on evolving annotation protocols and tools.
Required Skills and Qualifications
- Fluent in English with exceptional written and verbal communication abilities.
- Be able to commit 40 hours a week for this position.
- Proven experience in data annotation, data labeling, or a related field.
- Meticulous attention to detail and a commitment to delivering accurate results.
- Strong organizational and time management skills in a remote work environment.
- Proficiency with annotation platforms, productivity tools, and digital communication channels.
- Ability to work independently and follow complex instructions.
- Demonstrated problem-solving skills and adaptability to changing project requirements.
Preferred Qualifications
- Experience working on AI/ML data annotation projects.
- Background in linguistics, data science, or a related discipline.
- Familiarity with agile workflows and cross-functional, distributed teams.