Annotation Specialist / Data Specialist

Aquent; Cupertino (CA); Ibrido; USD 34.000 - 48.000; Tempo pieno

Vantaggi offerti da questo lavoro

Benefits

401k with match

Weekly pay

Descrizione del lavoro

Aquent is partnering on a data operations contract in Cupertino, CA to support data collection, annotation, processing, and QA for AI/ML projects. The role is on-site 3–5 days per week with W2 payroll, weekly pay, benefits, and 401(k) matching through 12/2027.

You will work closely with Program Managers and QA Leads to ensure high-quality datasets, coordinating sessions, preparing data assets, and validating outputs across the data lifecycle.

Competenze

• On-site in Cupertino, CA 3–5 days per week.
• Proficiency navigating macOS, iOS and iPadOS and standard office apps.
• Ability to organize, validate, and spot-check data files.
• Excellent communication and interpersonal skills.
• Strong time management and attention to detail.
• Self-motivated and able to work independently in a fast-paced environment.
• Consistent speed and high-quality output on repetitive tasks.
• Quick learner of new systems and tools.

Mansioni

• Coordinate and facilitate in-person data collection sessions.
• Annotate data with bounding boxes and subjective ratings across text, image, and video.
• Identify trends, edge cases, and tool anomalies during annotation.
• Perform QA reviews against guidelines and provide actionable feedback.
• Prepare and validate data assets for accurate dataset deliveries.
• Configure and troubleshoot data collection platforms and devices prior to launches.

Conoscenze

Data collection

Annotation

Quality assurance

Communication

Organizational skills

Time management

Independent work

MacOS/iOS familiarity

Attention to detail

Strumenti

CLI commands

Python scripting

Annotation platforms

Descrizione del lavoro

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 Aquent, 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 contract position, you will play a crucial role across the entire data lifecycle, ensuring the high-quality datasets needed to power smart, intuitive user experiences are built, refined, and delivered to perfection.

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

The Opportunity:

As a key contributor to our data operations, you will work hands-on to support data collection, annotation, processing, and quality assurance. This fast-paced role 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:

• Ability to work on-site in Cupertino, CA 3–5 days per week.
• Proficiency navigating macOS, iOS, and iPadOS, 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.