Technical Writer

Work Location:

Engagement Model:

Start Date:

Qualification Requirements:

Technical Writers

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.