Content Developer – Machine Learning Annotation

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

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).

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.

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

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