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Data Annotator

Job title: Data Annotator
Contract type: Full-time
Location: Atlanta
Remote: No
Reference: 446133
Contact name: Kate Gilman

Job description

Job Title: Data Annotator for AI

Job Description:

Are you detail-oriented, analytical, and interested in playing a vital role in advancing the field of artificial intelligence? We are seeking a highly motivated Data Annotator to join our AI research and development team. As a Data Annotator for AI, you will be instrumental in curating and labeling datasets that fuel our machine learning algorithms, enabling our AI models to perform accurately and efficiently.


  1. Data Annotation: Annotate and label various data types, including text, images, audio, and video, according to predefined guidelines and standards. Ensure the accuracy and consistency of annotations to produce high-quality training datasets for AI models.

  2. Quality Assurance: Implement rigorous quality control measures to verify the correctness of annotations and maintain data integrity throughout the annotation process.

  3. Domain Expertise: Develop a deep understanding of the domain and context of the data being annotated, making informed decisions when encountering ambiguous cases.

  4. Collaborative Support: Work closely with Data Scientists, Machine Learning Engineers, and other team members to comprehend project requirements and deliver annotated datasets that meet specific AI model training objectives.

  5. Feedback and Improvement: Provide constructive feedback to improve annotation guidelines and processes, contributing to continuous enhancement in the quality and efficiency of data annotation workflows.

  6. Deadline Management: Adhere to project timelines and deadlines to ensure timely delivery of annotated datasets, meeting project milestones.

  7. Annotator Guidelines: Assist in creating and refining annotation guidelines, ensuring clear and unambiguous instructions for other data annotators, when necessary.

  8. Emerging Technologies: Stay informed about the latest trends and advancements in data annotation tools and techniques, actively suggesting and implementing improvements to enhance productivity and accuracy.


  1. Educational Background: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field is preferred. A strong interest in artificial intelligence and machine learning is essential.

  2. Attention to Detail: Meticulous attention to detail and a high level of accuracy are critical to produce reliable annotated datasets.

  3. Analytical Thinking: Strong analytical skills and the ability to comprehend complex data patterns and relationships.

  4. Adaptability: Demonstrated ability to work with diverse data types and adapt to new projects and technologies efficiently.

  5. Communication Skills: Excellent verbal and written communication skills to provide feedback and report on progress effectively.

  6. Collaboration: Team player with the ability to work collaboratively in a fast-paced and dynamic environment.

  7. Data Privacy and Ethics: Understanding of data privacy and ethics, ensuring data is handled responsibly and in compliance with relevant regulations.

  8. Technical Aptitude: Familiarity with data annotation tools and software is advantageous, though not mandatory. Willingness to learn new tools and technologies is essential.

As a Data Annotator for AI, you will be at the forefront of enabling breakthroughs in artificial intelligence by contributing to the creation of high-quality training datasets. If you are enthusiastic about AI and data annotation and want to be part of a team dedicated to pushing the boundaries of technology, we encourage you to apply and embark on this exciting journey with us.

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