Annotation Specialist / Data Specialist [AQ-26793] — Cupertino, CA

Step into a pivotal role where your detail-oriented mindset and passion for data will directly shape the future of cutting-edge technology. Partnering with ZuSBRJ, a global leader in talent solutions, you will join forces with one of the world’s most innovative technology companies to support the development of next-generation artificial intelligence and machine learning models. In this dynamic role, you will play a crucial part across the entire data lifecycle, ensuring the high-quality datasets needed to power smart, intuitive user experiences are built, refined, and delivered to perfection.

About The Opportunity

We are seeking a collaborative and detail-driven professional to join our data operations team. In this role, you will work hands-on to support data collection, annotation, processing, and quality assurance. This fast-paced position offers the unique opportunity to collaborate closely with Program Managers and QA Leads, moving fluidly between projects as priorities evolve. Your work will directly influence the accuracy and performance of advanced technological systems, making this an exciting space for anyone eager to make a tangible impact in the tech industry.

What You’ll Do

• Coordinate and facilitate in-person data collection sessions, including participant recruitment, logistics, lab setup, device handling, and session support.

• Annotate pilot projects by classifying data, drawing bounding boxes, and providing subjective ratings on text, image, and video assets.

• Identify and flag trends, edge cases, and tool anomalies discovered during the annotation process.

• Perform rigorous quality assurance reviews on internal and vendor-delivered data against strict guidelines, scoring outputs and providing clear, actionable feedback.

• Prepare, organize, rename, convert, and validate data assets to ensure accurate, traceable, and high-quality dataset deliveries.

• Configure, test, and troubleshoot data collection and annotation platforms and devices prior to project launches.

What You’ll Need

• Proficiency navigating standard desktop and mobile operating systems, as well as standard productivity applications (spreadsheets, presentations, and email).

• Comfort organizing, validating, and spot-checking data files (including file renaming, reformatting, and basic spreadsheet logic).

• Excellent communication and interpersonal skills, with the confidence to ask clarifying questions when instructions are ambiguous.

• Exceptional organizational skills and a sharp eye for detail.

• Strong time management abilities, with a proven track record of juggling multiple projects under tight deadlines.

• A self-motivated work ethic, capable of working independently with minimal supervision in a fast-paced environment.

• Consistent speed and high-quality output when performing repetitive tasks.

• An innate ability to quickly learn and navigate new systems, tools, and platforms.

Preferred Qualifications

• 3+ years of experience in a professional setting, ideally focused on data collection or user study data operations.

• Experience configuring annotation tools or customizing data collection platforms.

• Experience moderating in-person data collection sessions or user research studies.

• Basic knowledge of running command-line interface (CLI) commands in a terminal and working with Python scripts.

Client Description

Our client is a global leader in consumer technology, renowned for redefining the intersection of hardware, software, and services. Known for their uncompromising commitment to world-class design and user experience, they create products that have become essential to daily life. You will be joining a team that values craftsmanship and simplicity, working on high-impact projects that reach hundreds of millions of people worldwide.

Other Requirements

• Location: Cupertino, CA

• Schedule: In-Office T/W/Th; Remote M/F

• Duration: through 12/2027

• Max Hourly Pay Rate: $29.85/hour

• Pay Comments: W2, weekly pay, benefits, 401k w/ match

• Background screening required