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Data Labeling Specialist Jobs (NOW HIRING)

Data Labeling Specialist We are seeking a dedicated Data Labeling Specialist to join our pioneering team in the AI and robotics sector. You will play a crucial role in bringing our general-purpose ...

We are seeking a dedicated Data Labeling Specialist to join our pioneering team in the AI and robotics sector. You will play a crucial role in bringing our humanoid robot to life by accurately ...

We are seeking a dedicated Data Labeling Specialist to join our pioneering team in the AI and robotics sector. You will play a crucial role in bringing our humanoid robot to life by accurately ...

Labeling Specialist: This position will be a subject matter expert in Medical Device labeling ... and compiles data and translates it into easily understandable documents, Utilize good ...

Labeling Specialist: This position will be a subject matter expert in Medical Device labeling ... and compiles data and translates it into easily understandable documents, Utilize good ...

🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training will be provided Join our mission to build the world's first general-purpose humanoid robot. As a Data ...

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Data Labeling Specialist information

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$39K

$69.8K

$89.5K

How much do data labeling specialist jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data labeling specialist in the United States is $69,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What are Data Labeling Specialists?

Data Labeling Specialists are professionals who annotate, categorize, and tag data—such as images, text, audio, or video—to make it usable for machine learning and artificial intelligence models. Their work ensures that algorithms have high-quality, accurately labeled datasets to learn from, which is essential for training and improving AI systems. Data Labeling Specialists often use specialized software tools and follow detailed guidelines to maintain consistency and accuracy. This role is critical in industries like autonomous vehicles, healthcare, natural language processing, and more.

What are some common challenges Data Labeling Specialists face when working on large-scale machine learning projects?

Data Labeling Specialists often encounter challenges such as maintaining consistency and accuracy across vast datasets, especially when multiple annotators are involved. Ambiguous or subjective labeling criteria can lead to discrepancies, so clear guidelines and regular quality checks are essential. Additionally, balancing speed with precision is crucial, as labeling errors can negatively impact the performance of machine learning models. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities.

What are the key skills and qualifications needed to thrive as a Data Labeling Specialist, and why are they important?

To succeed as a Data Labeling Specialist, you need strong attention to detail, accuracy, and a basic understanding of data annotation concepts, often supported by a high school diploma or relevant coursework. Familiarity with data labeling platforms, annotation tools, and sometimes basic programming languages like Python is typically required. Diligence, consistency, and effective communication help you manage repetitive tasks and clarify ambiguous data points. These skills ensure the production of high-quality labeled data, which is critical for training reliable machine learning models.

What is the difference between Data Labeling Specialist vs Data Annotator?

AspectData Labeling SpecialistData Annotator
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote, working with datasets for AI/ML models
Industry UsageUsed in AI, machine learning, and data science projectsCommonly used in AI training data preparation
Job FocusLabeling data accurately for AI modelsAnnotating data to train machine learning algorithms

Both roles involve preparing data for AI and machine learning, but Data Labeling Specialists often have a broader scope, including quality control and project management, while Data Annotators focus mainly on data tagging and annotation tasks.

More about Data Labeling Specialist jobs
What states have the most Data Labeling Specialist jobs? States with the most job openings for Data Labeling Specialist jobs include:
Data Labeling Specialist

Data Labeling Specialist

Aerotek

San Jose, CA

$30/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Job Title: Data Labeling Specialist
Job Description

We are seeking a dedicated Data Labeling Specialist to join our pioneering team in the AI and robotics sector. You will play a crucial role in bringing our general-purpose humanoid robot to life by accurately labeling images and video streams.

Responsibilities

  • Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from humanoid robots.
  • Identify and flag ambiguous or edge-case scenarios for review by the Machine Learning team.
  • Maintain high throughput and consistent quality across large annotation batches.
  • Contribute feedback on workflow improvements and tool enhancements.
Essential Skills
  • Strong attention to detail and the ability to apply consistent logic across diverse scenarios.
  • Comfortable navigating computer-based tools and quickly learning new software.
  • Patient, quality-focused mindset with the ability to juggle multiple assignments.
  • Clear written and verbal communication skills.
  • Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment.
  • Fluency in English required.
Additional Skills & Qualifications
  • Proficiency in computer skills and data entry.
  • Experience in labeling, data management, and data analysis.
  • Quality assurance and data collection experience.
  • Familiarity with Microsoft Office.
Why Work Here?

Join a first-of-its-kind AI robotics company focused on bringing a general-purpose humanoid to life. Benefit from opportunities for growth in an early-stage startup environment, along with competitive pay rates.

Work Environment

Work in a production/lab room environment surrounded by a goal-driven team of engineers. The role involves repetitive tasks that may become monotonous, so staying on task and avoiding distractions is essential.

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.

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)

Workplace Type

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

Application Deadline

This position is anticipated to close on Jul 6, 2026.

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.

Company Description

We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.