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Full Time Data Annotation Specialist Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Data Collection

San Jose, CA · On-site

$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 ...

Data Collection

San Jose, CA · On-site

$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 ...

... 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 ...

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may ...

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may ...

Regular Full-time Job Number: 17091 Department: Public Defender's Office Opening Date: 08/14/2026 ... The Data Specialist will work with complex records and bulk data related to law enforcement ...

Data Specialist

Houston, TX · On-site

$47K/yr

The Harris County Public Defender's Office seeks a full-time Data Specialist to help build and maintain the office's law enforcement accountability database through Techtivist. This is a data-focused ...

Data Specialist

Houston, TX · On-site

$47K/yr

The Harris County Public Defender's Office seeks a full-time Data Specialist to help build and maintain the office's law enforcement accountability database through Techtivist. This is a data-focused ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Showing results 41-60

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 Sep 6, 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 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.

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 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.

More about Full Time Data Annotation Specialist jobs

What cities are hiring for Full Time Data Annotation Specialist jobs?

Cities with the most Full Time Data Annotation Specialist job openings:

What are the most commonly searched types of Data Annotation Specialist jobs?

The most popular types of Data Annotation Specialist jobs are:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Staff Software Engineer, Annotation Platform, Autonomy

Rivian

Palo Alto, CA • On-site

$206K - $258K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Rivian rating

7.3

Company rating: 7.3 out of 10

Based on 160 frontline employees who took The Breakroom Quiz

18th of 45 rated automakers


Job description

About Rivian
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary
Rivian's Autonomy organization is looking for a Staff Software Engineer, ML Applications on the Data & Cloud team. You will set the direction for large-scale applications and data pipelines that power data annotation, ML/DL training and infrastructure, using modern cloud services and open-source frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost, developer velocity) and align engineering, ML, and data partners on architecture and roadmaps. You will help the Autonomy organization move faster by building reliable, observable software on top of petabyte-scale sensor datasets.
Responsibilities
  • Lead the technical development of Rivian's in-house 2D and 3D labelling platform, enabling the delivery of high quality data for model training and validation.
  • Set full-stack platform direction (TypeScript, React) for internal tools that accelerate annotation and ML workflows.
  • Lead alignment on backend services and APIs (Go/Python) across teams; establish standards for APIs, data contracts, and service boundaries.
  • Guide data modeling and storage strategy across NoSQL databases like MongoDB, including performance, cost and consistency tradeoffs at scale.
  • Partner with architects, ML engineers, and data engineers on requirements, architecture and design.
  • Drive cloud cost, performance, and reliability initiatives; champion SLOs, observability, and incident learning.
  • Mentor junior engineers with technical leadership and knowledge.

Qualifications
  • B.S., M.S., or Ph.D. in Computer Science or a related field and at least 6 years of relevant experience; or at least 8 years of industry experience without a degree.
  • Strong full-stack background with TypeScript and modern web stacks (React preferred); track record shipping and evolving complex internal web applications.
  • Deep backend expertise in Python, Go, or Java on high-throughput or large-data systems.
  • Demonstrated success leading technical design for multi-service or platform-scale systems.
  • Hands-on experience with MongoDB, Postgres, and/or similar databases in production.
  • Proven ability to work cross-functionally across teams and domains, and to communicate clearly to technical and non-technical leaders.
  • History of mentoring engineers and improving team-wide engineering practices.

Preferred Qualifications
  • Familiarity with end-to-end ML workflows and the production lifecycle of ML data (ingestion, labeling, training, evaluation).
  • Experience with AWS, MLOps, and data/ML pipelines in cloud environments.

Pay Disclosure
The salary range for this role is $206,500-$258,100 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.
We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy and Technology
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.
AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.
Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.
Please note that we are currently not accepting applications from third party application services.

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009