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Full Time Data Annotation Specialist Jobs (NOW HIRING)

Involta, LLC

Data Center Specialist

Duluth, MN · On-site

Job Summary: ark data centers is seeking a full-time Data Center Specialist at its state of the art data center facility in Duluth, MN. Under general supervision, the Data Center Specialist performs ...

Latent

Clinical Informatics Specialist

New York, NY · On-site

$75K - $100K/yr

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to improve Latent's AI models, while also serving as a clinical subject matter expert (SME) to inform ...

e2f, inc.

We are looking for an AI Quality Control Specialist - Dutch Language (NL) who can analyze, validate ... Experience in AI data annotation, evaluation, or QA. What Success Looks Like: * High consistency in ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ...

Hark

Data Collection

San Jose, CA

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ... Compensation The US base salary range for this full-time position is between $150,000 - $250,000 ...

Apple

Algorithm Evaluation Manager

Sunnyvale, CA · On-site

... annotation processes, and deep analytical skills. You will collaborate closely with cross ... Lead, mentor, and grow a team of engineers and data specialists. Foster a culture of innovation ...

Canteen

DATA ADMIN SPECIALIST (FULL TIME)

Melville, NY · On-site

$47K - $64K/yr

* We are hiring immediately for a full time DATA ADMIN SPECIALIST position. * Location : Canteen - 255 Pinelawn Road, Melville, NY 11747. Note: online applications accepted only. * Schedule : Full time ...

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Full Time Data Annotation Specialist information

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$28K

$72.9K

$88K

How much do full time data annotation specialist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for full time data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by full time data annotation specialists, and how can they be managed?

Full Time Data Annotation Specialists often encounter challenges such as maintaining high accuracy while working with large volumes of data, staying focused during repetitive tasks, and adapting to evolving annotation guidelines. Managing these challenges involves developing an eye for detail, regularly reviewing updated instructions, and using productivity techniques like taking short breaks or collaborating with team members to discuss ambiguities. Additionally, many organizations provide ongoing training and support to ensure consistency and quality in annotations.

What is the difference between Full Time Data Annotation Specialist vs Data Labeling Technician?

AspectFull Time Data Annotation SpecialistData Labeling Technician
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data annotationHigh school diploma or equivalent; minimal certifications required
Work EnvironmentOffice or remote; collaborative with data science teamsWarehouse or office; focused on labeling tasks
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning sectors for data preparation

The Full Time Data Annotation Specialist and Data Labeling Technician roles both involve preparing data for AI models. The specialist typically has broader responsibilities, may require certifications, and works in collaborative environments, while the technician focuses on specific labeling tasks with minimal credentials. Both roles are essential in the data annotation process within AI industries.

What are the key skills and qualifications needed to thrive as a full time data annotation specialist?

To thrive as a Full Time Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Proficiency in using annotation tools (such as Labelbox or Supervisely), spreadsheets, and sometimes basic scripting is typically required. Excellent communication, time management, and the ability to follow detailed instructions help you stand out in this role. These skills and qualities are crucial to ensure high-quality, accurate datasets that drive effective machine learning and AI model development.

What is a full time data annotation specialist?

A Full Time Data Annotation Specialist is a professional responsible for labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. Their primary role involves accurately tagging or marking data according to specific guidelines, which is essential for artificial intelligence and machine learning applications. This job often requires attention to detail, consistency, and sometimes domain-specific knowledge, depending on the project. Data annotation specialists typically work in industries like technology, healthcare, autonomous vehicles, and e-commerce. Full-time positions usually offer stable hours and may include benefits.
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Full Time Data Annotation Specialist jobs near you
Infographic showing various Full Time Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Technical Program Manager, Data

Sesame

San Francisco, CA • On-site

$200K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
We are seeking a Senior Technical Program Manager to lead Sesame's data collection and annotation initiatives. In this role, you will gather data requirements from research and product teams, prioritize projects, identify and manage internal or external resources, and ensure the delivery of high-quality data.
Responsibilities:
  • Lead audio data collection and annotation efforts at Sesame.
  • Collaborate with research and product teams to understand and formalize their requirements.
  • Identify and manage internal resources and/or external vendors to complete data tasks.
  • Ensure the delivery of high-quality work.
  • Work closely with tooling engineers to support data-related tasks.
  • Oversee data acquisition processes.

Required Qualifications:
  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience working with machine learning researchers and engineers.
  • Proven experience leading data labeling projects.
  • Experience managing full-time employees or contractors involved in data labeling.
  • Expertise in writing technical specifications for data annotation pipelines.

Preferred Qualifications:
  • Understanding of ML data pipelines and their applications.
  • Experience working with LLMs.
  • Familiarity with data labeling for audio technologies, such as speech recognition and speech synthesis.

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
  • 401 (k) max employer match: 3.5% of compensation
  • 100% employer-paid health, vision, and dental benefits for you and your dependents
  • Unlimited PTO and sick time
  • Flexible spending account with employer matching up to $1,650/year (medical FSA)
  • Guardian Employee Assistance Program (EAP)
  • Opportunity to share in the company's success with competitive stock options

Benefits do not apply to contingent/contract workers.

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