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Annotation Tech Jobs (NOW HIRING)

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

... T consulting and workforce solutions firm providing services and support to Fortune 500 and ... We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal ...

Bedrock Robotics

Agentic Data Understanding

San Francisco, CA · On-site

$134K - $162K/yr

Own the annotation job configuration library - the registry of available annotators - and ensure new annotator technologies are onboarded in a scalable, secure way. Agentic Pipelines & Infrastructure

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

Technical Skills Proficiency with annotation tools and platforms. Ability to review multimedia ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Voxelcloud

Chief Technology Officer

Los Angeles, CA

As Voxelcloud's technology moves from early development and validation into full productization ... Optimize annotation data quality and label consistency for R&D in a cost-efficient way. o Work with ...

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Annotation Tech information

What are Annotation Techs?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Annotation technicians use specialized tools to add accurate labels, which are essential for developing AI systems, and typically require attention to detail and knowledge of annotation guidelines.

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

Is annotation tech legit?

Annotation tech refers to roles involving labeling and annotating data for machine learning and AI training. These jobs are generally legitimate and often involve remote work, requiring attention to detail and familiarity with data labeling tools. However, job seekers should verify the employer's credibility before applying or providing personal information.

What are some common challenges faced by Annotation Techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.

Is data annotation tech hiring now?

Data annotation technician roles are currently in demand as companies expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Hiring trends can vary by industry and region, but overall, opportunities in data annotation remain active.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that range from minimum wage to around $20 per hour, depending on experience, location, and the complexity of tasks. Some companies offer bonuses or pay increases for specialized skills or certifications, but overall, pay is generally modest compared to other tech roles.
More about Annotation Tech jobs
What cities are hiring for Annotation Tech jobs? Cities with the most Annotation Tech job openings:
What states have the most Annotation Tech jobs? States with the most job openings for Annotation Tech jobs include:
What job categories do people searching Annotation Tech jobs look for? The top searched job categories for Annotation Tech jobs are:
Annotation Tech jobs near you
Infographic showing various Annotation Tech job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.
Data Annotation Specialist (Contractor)

Data Annotation Specialist (Contractor)

Collectors Holdings, Inc.

Santa Ana, CA • On-site

$25 - $30/hr

Full-time

Posted 22 days ago

Job description

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We're always on the lookout for talented people to join our growing team.
Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder.
Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, Shanghai, Hong Kong, Canada, Mexico, Germany, and France.
As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process.
We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have.
We're looking for a Data Annotation Specialist contractor who can work full-time (40 hours per week) for an 8-week on-site (Santa Ana) contract assignment with our AI/ML Team. As a Data Annotation Specialist, you will support a high-priority initiative focused on building high-quality training data for our machine learning models. Your work will involve reviewing images, following detailed labeling guidelines, and accurately annotating data within our internal software. You will be motivated to reach your goals and deadlines as you focus on accurately labeling, tagging, and categorizing large datasets.
You'll report to AI/ML Director and work from our Santa Ana, CA office headquarters.
Onsite Requirement:
This role requires you to be onsite in the office 5 days per week.
What You'll Do:
  • Prepare and annotate large volumes of data with precision, efficiency, and within project timelines
  • Collaborate with team members to ensure data is labeled consistently and accurately according to defined guidelines
  • Perform quality control checks to maintain high levels of annotation accuracy
  • Communicate effectively with stakeholders to understand project requirements and labeling specifications
  • Continuously improve annotation workflows to increase efficiency and reduce errors

Who You Are:
  • You have a personal interest in collectibles, trading cards, coins, or related hobbyist markets (not required, but it helps)
  • You have a keen eye for accuracy and strong attention to detail
  • You are motivated by clear goals and consistent, measurable output, and can maintain focus through repetitive, high-volume work
  • You work well both independently and as part of a team, with strong time management and minimal need for oversight
  • You communicate clearly and are comfortable asking critical questions
  • You are comfortable with standard computer tools and data management systems
  • Familiarity with data annotation tools or similar software and data formats such as CSV, JSON, and XML
  • Prior experience with detail-oriented data work, QA, or repetitive precision tasks

Training you will receive in the role:
  • Annotation Tools - Training on internal software to efficiently label large datasets
  • Data Management - Training on data management practices to organize and maintain accurate, high-quality datasets
  • Quality Control - Training on QC methods to ensure data meets accuracy and consistency standards
  • Machine Learning Concepts - For interested candidates, an introduction to the basics of machine learning concepts and how annotation supports model training

Physical Requirements:
  • Computer Use: Typing, mouse work, and sitting and looking at a computer potentially for long periods of time
  • Hand Use: Regular hand use for various tasks
  • Hearing Requirements: Ability to hear alarms, signals, and verbal instructions
  • Lifting and Carrying: Ability to routinely lift, carry, and move materials up to 40 pounds
  • Sitting: Ability to sit for extended periods of time
  • Sitting or Standing: Ability to sit or stand for extended periods of time
  • Vision: Using vision aiding devices, as well as sitting in dark or dimly lit rooms with soft desk lighting

Hourly Range:
The hourly range for this position is $25 - $30. Actual compensation in this range will be based on a variety of non-discriminatory factors, including location, job level, prior experience, and skill set.
Candidates must be authorized to work in the United States.
Collectors uses e-Verify to validate your ability to work legally in the United States.
We are aware that there are instances where individuals are receiving job offers that fraudulently allege to be from Collectors or one of our business units. This type of fraud can be carried out through false websites, through fake e-mails claiming to be from the company or through social media. We never ask for personal information such as your bank account, Social Security numbers or National IDs, nor do we send or request payments for the purchase of business-related equipment. If you suspect fraud, please reach out to people@collectors.com.
We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.
If you require an accommodation to apply or interview with us due to a disability or special need, please email people@collectors.com.
U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.
If you are based in California, you can read information for California residents here.

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