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Job Overview
Location
United States
Job Type
Part-time
Category
Data Analyst
Date Posted
March 3, 2026
Full Job Description
📋 Description
- • Embark on a critical mission to enhance the capabilities of artificial intelligence by contributing to a high-priority data collection initiative. This project is designed to bridge the gap between current AI systems and the nuanced, expert-level understanding of complex creative software interfaces and multi-step professional workflows. Many existing datasets fall short, lacking the depth and fidelity necessary to accurately represent how seasoned professionals truly interact with digital tools. Your role as a Software Expert will be instrumental in generating the high-quality data required to train AI models to interpret and respond to these intricate creative environments with unprecedented accuracy.
- • As a Software Expert, your primary responsibility will be to meticulously capture and document user interactions within specific creative software applications. This involves two key areas of contribution, depending on the project's current phase: screen recording and UI annotation. For screen recording, you will be tasked with capturing sessions that demonstrate specific, often complex, creative workflows. Crucially, each recording must be accompanied by clear, verbal narration that articulates every step taken and the rationale behind each decision. This narrative component is vital for providing context and insight into the expert-level thought process.
- • In parallel, or as an alternative focus, you will be responsible for annotating screenshots. This annotation process requires drawing precise bounding boxes around relevant interface elements within the captured images. This detailed labeling is essential for AI systems to learn to identify and differentiate various components of creative software UIs. To ensure the highest quality and consistency, you will be provided with detailed staging instructions to configure the user interface to specific states before commencing recordings or capturing screenshots. This preparatory step is critical for standardizing the data and ensuring it meets the project's rigorous requirements.
- • You will utilize a custom-built capture tool, designed to ensure the accurate and consistent documentation of workflows. Proficiency and adherence to the guidelines for this tool are paramount. The success of this initiative hinges on the quality and usability of the collected data, and therefore, strict adherence to all project guidelines is non-negotiable. Your attention to detail will directly impact the scalability and effectiveness of the AI models being developed.
- • The ultimate goal is to produce data that is not only accurate but also representative of authentic, expert-level creative workflows. This means demonstrating a deep understanding of the software you are working with and conveying that expertise through your recordings and annotations. Success will be measured by the accuracy and structure of your annotations, the realism and expert-level quality of your screen recordings, and your overall efficiency in completing tasks without compromising on quality. The data you help collect will be foundational for advanced AI research and development, pushing the boundaries of what AI can understand and achieve in creative domains.
- • This role offers a unique opportunity to leverage your existing creative software expertise in a project that has a direct impact on the future of AI. You will be working remotely, providing flexibility in your schedule, and will be compensated on a weekly basis. While no access to confidential information is required, your contribution is vital to the success of this cutting-edge initiative. Your ability to follow precise instructions, work independently, and deliver high-quality results will be key to your success in this role.
Skills & Technologies
About Weekday Technologies Inc.
Weekday Technologies operates a hiring platform that connects tech companies with pre-vetted software engineers through community referrals. The product crowdsources candidate recommendations from existing engineering teams, verifies skills, and offers employers a searchable talent pool for contract and full-time roles. Founded in 2021 and headquartered in San Francisco, the company focuses on reducing time-to-hire for startups and scale-ups by leveraging trusted peer networks rather than traditional recruiting pipelines.
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