Data Labeling Specialist

Job Description

Job Description

Job Description

The Data Labeling Specialist supports advanced AI and robotics initiatives by accurately annotating images and video streams generated by humanoid robots. This role focuses on consistent, high-quality data labeling, careful handling of edge cases, and continuous improvement of annotation workflows within a fast-paced, production-oriented environment.

Responsibilities

• Use proprietary annotation tools to label objects, poses, and interactions in images and video streams generated by humanoid robots.
• Apply clear, consistent logic when annotating a wide range of visual scenarios to ensure high-quality training data for machine learning models.
• Identify, document, and flag ambiguous or edge-case scenarios for review by the machine learning team.
• Maintain high throughput while preserving accuracy and consistency across large batches of annotations.
• Perform careful data entry and data management to ensure labeled datasets remain organized, traceable, and usable for downstream analysis.
• Support quality assurance processes by reviewing labeled data, correcting errors, and helping to enforce annotation standards.

Essential Skills

• Strong attention to detail and the ability to apply consistent logic across diverse visual scenarios.
• Comfort using computer-based tools and the ability to quickly learn new software and proprietary annotation platforms.
• Proficiency with general computer skills and data entry in a production or lab environment.
• Experience or familiarity with data labeling, data collection, and data management practices.

Job Type & Location

This is a Contract to Hire position based out of San Jose, CA.

Pay and Benefits

The pay range for this position is $30.00 - $30.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Job Type & Location

This is a Contract to Hire position based out of San Jose, CA.

Application Deadline

This position is anticipated to close on Oct 29, 2026.

Workplace Type

This is a fully onsite position in San Jose,CA.

About Aerotek

Aerotek® Inc. provides staffing and services solutions in manufacturing, logistics, construction, aviation, facilities and maintenance. We provide the expertise, solutions and people required to rise to the challenges of North American industry. Headquartered in Hanover, Md., Aerotek operates a unified network of over 200 offices across North America, supporting more than 18,000 clients each year. Aerotek is an Allegis Group company, the global leader in workforce and business solutions. To learn more, visit: Aerotek.com | 1-888-AEROTEK.

Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance:
Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):
We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.