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Annotation Tech Jobs (NOW HIRING)

Voxelcloud

Chief Technology Officer

Los Angeles, CA · On-site

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 ...

YO IT Consulting

English QA Lead - Remote

YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of ... Data Annotation, Quality Assurance, or a relevant domain/related field. • Strong grasp of the ...

YO IT Consulting

English QA Lead - Remote

YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of ... Data Annotation, Quality Assurance, or a relevant domain/related field. • Strong grasp of the ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... or technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

YO IT Consulting

English QA Lead - Remote

YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of ... Data Annotation, Quality Assurance, or a relevant domain/related field. • Strong grasp of the ...

YO IT Consulting

English QA Lead - Remote

YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of ... Data Annotation, Quality Assurance, or a relevant domain/related field. • Strong grasp of the ...

YO IT Consulting

English QA Lead - Remote

YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of ... Data Annotation, Quality Assurance, or a relevant domain/related field. • Strong grasp of the ...

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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.
Chief Technology Officer

Chief Technology Officer

Voxelcloud

Los Angeles, CA • On-site

Full-time

Posted 18 days ago

Job description

Company Description
Founded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI analysis of medical images and video. VoxelCloud's offerings help healthcare providers make better/earlier diagnoses and related clinical decisions, improving outcomes for all. Current solutions cover lung cancer, cardiovascular disease and retinal diseases.
VoxelCloud is backed by Sequoia Capital and Tencent with a total funding of $78.5M (Series B).
Job Description
As Voxelcloud's technology moves from early development and validation into full productization, the company requires an experienced Chief Technology Officer as a key member of the senior management team to continue growing the company's tech group and assets to meet strategic goals. This is a key hire for the company and an opportunity to work with innovative, passionate people on cutting edge AI solutions that can literally save lives.
  • Lead VoxelCloud's tech team in managing company IT and developing and continually improving VoxelCloud's data assets and products. Responsible for hiring/managing the team and delivering AI software products and data per requirements - doing so on time and within budget.
    o Plan and manage IT assets for company's exisiting operations and growth.
    o Build and manage world-class data team and infrastructure.
    o Research and implement optimal new machine learning and data approaches - including to 'do more with less' (quantity and quality of) data and data annotations.
    o Manage and make ongoing improvements to our data annotation platform and process to support medical imaging labeling. Includes using internally-developed and other tools. Optimize annotation data quality and label consistency for R&D in a cost-efficient way.
    o Work with product leads and others internally to agree on product specifications, data needs and development and deployment objectives.
    o Lead the design, development, and production of ML/DL models underlying VoxelCloud's products
    o Lead the design, development, and production of compelling product UI/UX
    o Manage an agile product development process
  • Ensure above complies with all applicable regulations, security and other requirements and best practices per industry norms, regulatory affairs/quality assurance and advisor guidance.
  • Lead technical aspects of VoxelCloud's products' clinical trials, FDA clearance process and subsequent commercialization. As part of this, you will:
    o Work with product leads, regulatory affairs and other team members, as well as VoxelCloud's advisors and collaborators.
    o Contribute to the design and execution of VoxelCloud's products' clinical trials and support the FDA clearance process.
    o Manage field engineers for product deployments and partner/customer support
  • Determine necessary tech budget to accomplish above - managing the approved budget and team

Qualifications
  • Passion for software development and improving healthcare for millions!
  • Eager to roll up one's sleeves to get the job done.
  • Successful startup CTO experience.
  • 10+ years experience leading development of software and/or data management and curation.
  • 5+ years of health industry software (preferably at least some AI) experience.
  • FDA clearance process experience preferred.
  • Excellent understanding of machine learning and data science
  • Strong track record of leading teams and working well internally (including across groups) and externally with partners, customers and other stakeholders.
  • In-depth knowledge of agile product development methodology
  • Outstanding communication, presentation and leadership skills
  • Excellent organizational and time management skills
  • Strong analytical and problem-solving skills
  • Attention to details
  • Ability to manage - and thrive - amid ambiguity.
  • MS/BS degree in Computer Science, Engineering or equivalent preferred.

Additional Information
All your information will be kept confidential according to EEO guidelines.

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