Machine Learning Data Labeler: Remote Contract

Data Labeling Specialist: Remote Contract Remote Flexible Hours Contract Data Labeling PAY RATE $17/hr (USD) At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful. What You'll Do Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world. Who We're Looking For People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements. Strong readers and writers with sound judgment Comfortable evaluating creative or technical work against a set of criteria Takes quality seriously and catches what others miss Can follow detailed written guidelines independently Qualifications Bachelor's degree, completed or in progress Excellent written English — clear, precise, well-organized Strong attention to detail At least 1 year of experience in a role built around evaluating or reviewing work against a standard e.g., UI/UX design, graphic design, photography, video production, editorial, research, QA, or technical writing. Equivalent experience will be considered. Must be based in the US or Canada Technical Requirements Desktop or laptop running Windows 10 (or later) or a recent version of macOS. Chromebooks, Linux-based systems, and tablets (e.g., iPad, Surface in tablet mode) are not supported. Stable, high-speed internet (minimum 25 Mbps download / 5 Mbps upload) What We Offer Remote, flexible contract work Clear guidelines and training Performance feedback and opportunities to grow A mission-driven team focused on accuracy and quality Some of our most reliable, high-performing contributors have grown into roles where they guide and support others, with compensation that reflects the added responsibility. These opportunities depend on performance and how the work is evolving, and we're glad to support people who are a strong fit. Ready to apply? Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.