Work Location: India, remote
Engagement Model: Freelancer / Independent Contractor
Start Date: ASAP
Qualification Requirements: Successful completion of a role-specific written assessment and a background check.
DataForce by TransPerfect is seeking experienced Technical Writers to support the creation and management of high-quality documentation for complex AI and data-driven projects. In this role, you will collaborate with researchers, developers, and cross-functional teams to produce clear, accurate, and accessible technical content, ensuring effective communication across the data annotation and AI development ecosystem.
Main Responsibilities:
Communicate complex technical information clearly, accurately, and without unnecessary jargon.
Create and maintain a variety of documentation, including conceptual overviews, procedures, example code, help center content, and FAQs.
Serve as a communication bridge between researchers, developers, and taskers within the HITL (Human-in-the-Loop) team.
Develop comprehensive, in-depth documentation and communications for both internal and external audiences.
Manage and coordinate projects involving multiple junior writers, ensuring consistency and quality across deliverables.
Lead complex, multidisciplinary programs from planning to delivery, defining requirements and timelines with internal stakeholders.
Coordinate with cross-functional teams across different offices, time zones, and regions to maintain alignment on project goals and deadlines.
Continuously improve documentation processes and workflows to support data annotation and research initiatives.
Minimum qualifications:
Bachelor's degree in a relevant field, or equivalent practical experience.
10 years of experience in technical writing, instructional design, or a similar role, with a focus on creating instructions for human-in-the-loop tasks or rater platforms.
Experience in task definition and instruction design principles and best practices.
Experience with HTML, Python, Data analysis, Markdown, or version control systems (e.g., Git).
Experience collaborating with stakeholders and translate requirements into clear, actionable instructions for the audience.
Experience in developing and delivering training programs.
Preferred qualifications:
Advanced degree in Technical Communication, Instructional Design, Human-Computer Interaction, or a related field.
Experience working with large-scale human evaluation platforms, crowdsourcing, or rater-based data collection programs.
Experience designing tasks for complex domains.
Experience with data analysis to inform instruction improvement.
Familiarity with AI/ML concepts and data labeling processes.
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