Job Title: Data Annotation Specialist (English and French)

Location: Fully Remote within the Canada (excluding Quebec)

Employment Type: Part Time (20 hours per week)

We are seeking a passionate and detailed-oriented Data Annotation Specialist to support the evaluation and labeling of images, search queries and other forms of data for a large enterprise client. This person should have strong critical thinking and written skills to be able to understand challenging guidelines and articulate their understanding. Ideally, this person will have past data annotation experience, but this is not a requirement.

Required Skills:

• Attention to Detail – Ability to consistently identify and label subtle patterns or elements.
• Basic Technical Literacy – Comfortable using annotation tools and understanding data formats (e.g., text, image, audio).
• Consistency and Accuracy – Ability to apply guidelines uniformly across large datasets.
• Critical Thinking – Capable of resolving ambiguous cases based on annotation rules.
• Communication Skills – Can report edge cases or unclear instructions to team leads or developers.
• Time Management – Able to meet productivity targets without sacrificing quality.
• A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD)

Bonus Skills:

• Experience with Annotation Tools – Familiarity with platforms like Labelbox, CVAT, Prodigy, or Amazon SageMaker Ground Truth.
• Understanding of Machine Learning Concepts – Basic knowledge of how annotations impact model training and evaluation.
• Quality Assurance (QA) Experience – Skill in reviewing or validating annotations done by others.
• Adaptability to Evolving Guidelines – Comfort with changing instructions and updating work practices accordingly.
• Team Collaboration Tools Proficiency – Familiarity with tools like Jira, Slack, or Trello for task tracking and communication.
• Problem-Solving Mindset – Proactive in identifying annotation issues or proposing improvements to workflows.

Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.

Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status. Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist. Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams*.*

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.