Content Developer – Machine Learning Annotation
Correlation One
contract
Posted on:
Location Type: Remote
Location: United States
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About the role
- Create high-quality instructional materials that teach modern data annotation and labeling workflows used to train and evaluate machine learning systems.
- Develop content across modalities—including text, image, video, audio/speech, and cross-modality labeling.
- Collaborate with internal program team to produce session plans, hands-on practice, examples, and assessments aligned to defined learning outcomes.
- Content should model best-in-class annotation behavior: rule-based decisions, clear rationales, consistent application of guidelines, and appropriate handling of ambiguity.
- Produce complete content packages per session/module, such as facilitator guide, learner materials, demos or walkthroughs, practice activities, strong vs. weak examples, rubrics/evaluation criteria, and short knowledge checks/assessments.
- Create hands-on exercises using a common annotation platform, including task setup guidance, labeling instructions, example labels, edge cases, and review workflows.
- Review and iterate on content based on internal feedback and peer review.
- Participate in weekly and ad hoc meetings with the program team to align on objectives, standards, and delivery constraints.
- Support content deployment into our learning platform (training provided).
Requirements
- Demonstrated experience creating machine learning training content, instructional content, curriculum materials, or technical content for adult learners.
- Hands-on experience as a data annotator, including using tools such as Label Studio or similar annotation platforms.
- Ability to translate complex content into clear, learner-friendly lessons with concrete examples.
- Strong command of English (written and verbal) with excellent attention to detail and consistency.
- Organized, deadline-reliable, and comfortable working in a remote, fast-moving environment.
- Nice to have: Experience creating content across multiple data modalities (text, image, video, audio) and/or cross-modality tasks.
- Experience building rubrics, scoring guides, or evaluation criteria for annotation quality.
Benefits
- 100% free training programs for learners
- Equal opportunity employer and commitment to providing equal opportunity for all
- Commitment to full inclusion of all qualified individuals
- Supportive, human-led group learning environments
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data annotationlabeling workflowsinstructional designcurriculum developmentcontent creationevaluation criteriarubricscross-modality labelingmachine learning training contenttechnical content
Soft Skills
attention to detailorganizational skillsdeadline reliabilitycommunication skillscollaborationadaptabilitylearner-friendly content translationfeedback incorporation