Data Labeling Specialist

Job Description

Job Description

Job Title: Data Labeling Specialist Job Description

As a Data Labeling Specialist, you accurately annotate images and video streams generated by humanoid robots using proprietary tools. You play a key role in supporting machine learning initiatives by consistently labeling objects, poses, and interactions, identifying edge cases, and maintaining high quality across large volumes of data. You collaborate closely with the broader team by sharing feedback to improve workflows and tools while working efficiently in a fast-paced environment.

• Use proprietary annotation tools to label objects, human poses, and interactions in images and video streams generated by humanoid robots.
• Review visual data carefully and apply consistent logic to ensure accurate and reliable annotations across diverse scenarios.
• Identify, document, and flag ambiguous or edge-case scenarios for further review by the machine learning team.
• Maintain high throughput while preserving consistent quality standards across large annotation batches.
• Follow established labeling guidelines and contribute to refining these guidelines as new scenarios and requirements emerge.
• Provide clear, constructive feedback on workflow processes and annotation tool functionality to help drive improvements.
• Collaborate with team members to resolve questions, share best practices, and support a cohesive labeling approach.
• Manage multiple assignments simultaneously while staying organized and meeting productivity and quality expectations.
• Communicate clearly in writing and verbally regarding data issues, edge cases, and process suggestions.

• Proven ability to perform detailed data labeling and data entry tasks with high accuracy.
• Strong attention to detail and the ability to apply consistent logic across a wide range of visual scenarios.
• Comfort using computer-based tools and the ability to quickly learn and adapt to new software platforms.
• Patient, quality-focused mindset with the ability to maintain concentration over repetitive tasks.
• Capability to juggle multiple assignments while staying organized and meeting deadlines.
• Clear written and verbal communication skills for documenting issues and collaborating with the team.
• Reliable, self-motivated work style with a collaborative spirit suited to a fast-paced environment.
• Fluency in English.

• Experience with labeling, annotation, or data entry tasks in a technical or operational setting.
• Interest in robotics, computer vision, or machine learning-driven products.
• Comfort giving structured feedback on tools, workflows, and documentation.
• Ability to adapt to evolving guidelines and processes as annotation needs change.

You join a forward-looking organization that builds cutting-edge humanoid robotics and machine learning systems, giving you the opportunity to contribute directly to innovative technology. The team values accuracy, collaboration, and continuous improvement, encouraging you to share ideas that shape tools and workflows. You work in an environment that supports self-motivation, clear communication, and professional growth, offering meaningful exposure to advanced data-centric practices.

You work in a technology-driven environment focused on humanoid robotics and machine learning, using proprietary annotation tools and computer-based software systems throughout the day. The role involves extended periods of working at a computer, carefully reviewing images and video streams and entering detailed labels. The pace is fast but structured, with clear guidelines and workflows that evolve as tools and processes improve. Collaboration occurs through digital communication and team interactions, while you manage multiple assignments in an organized, quality-focused manner. Attire is typical for an office or remote computer-based setting, emphasizing comfort and professionalism suitable for focused desk work.

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

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)

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

This position is anticipated to close on Nov 26, 2026.

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

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.