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Full Time Annotation Specialist Jobs (NOW HIRING)

SuperAnnotate AI

Global Account Director

San Francisco, CA · On-site

$350K - $450K/yr

Our global network of expert specialists, scalable managed operations, precise talent matching, and ... This is a full-time, hybrid position based in San Francisco. What You'll Do * Develop pipeline ...

SuperAnnotate AI

Research Engineer

San Francisco, CA · On-site

$180K - $280K/yr

Our global network of expert specialists, scalable managed operations, precise talent matching, and ... This is a full-time, hybrid position based in San Francisco. What You'll Do * Take a research ...

SuperAnnotate AI

Research Engineer

San Francisco, CA

$180K - $250K/yr

Our global network of expert specialists, scalable managed operations, precise talent matching, and ... This is a full-time, hybrid position based in San Francisco. What You'll Do * Take a research ...

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Full Time Annotation Specialist information

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

AspectFull Time Annotation SpecialistData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data annotationTypically high school diploma; minimal formal certifications
Work EnvironmentOffice or remote; collaborative teams; specialized toolsRemote or on-site; basic software tools; repetitive tasks
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data processing
Search & Comparison IntentUnderstanding roles, responsibilities, and career pathBasic data labeling tasks, entry-level position

The main difference is that a Full Time Annotation Specialist typically has more responsibilities, may require some certifications, and works in a more collaborative environment focused on complex annotation tasks. Data Labelers usually perform simpler, repetitive labeling tasks, often with minimal qualifications. Both roles are essential in AI development but differ in scope and complexity.

What are Full Time Annotation Specialists?

Full Time Annotation Specialists are professionals who label, categorize, and tag data such as images, audio, video, or text to help train machine learning and artificial intelligence systems. Their work is crucial for ensuring that AI models receive high-quality, accurate data during the training phase. These specialists typically follow detailed guidelines to accurately identify and annotate relevant features in large datasets. They may work in various industries, including technology, healthcare, automotive, and more, depending on the application of the AI system.

What are the key skills and qualifications needed to thrive as a Full Time Annotation Specialist, and why are they important?

To thrive as a Full Time Annotation Specialist, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with some roles requiring domain-specific knowledge. Familiarity with annotation platforms, data labeling tools, and basic office software is typically required, and knowledge of machine learning concepts can be beneficial. Excellent communication, time management, and the ability to work independently or collaboratively are standout soft skills. These competencies ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning models.

What are the main challenges Full Time Annotation Specialists face when working with large datasets?

Full Time Annotation Specialists often encounter challenges related to maintaining consistency and accuracy across large and complex datasets. The repetitive nature of the work can lead to fatigue, increasing the risk of errors, so attention to detail and regular breaks are important. Additionally, they may need to adapt quickly to shifting project guidelines and collaborate closely with data scientists or engineers to clarify ambiguous cases. Staying up to date with annotation tools and best practices also helps ensure high-quality results.
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Full Time Annotation Specialist jobs near you
Infographic showing various Full Time Annotation Specialist job openings in the United States as of July 2026, with employment types broken down into 14% Locum Tenens, 18% Full Time, 16% Part Time, 18% Contract, 32% Nights, and 2% Summer. Highlights an 34% Physical, and 66% Remote job distribution.
Global Account Director

Global Account Director

SuperAnnotate AI

San Francisco, CA

$350K - $450K/yr

Full-time

Posted 29 days ago

Job description

About SuperAnnotate

SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025.

The Impact You'll Make
 
We are looking for an experienced, driven and enthusiastic Global Account Director who can guide our prospects and customers through their buying journey with SuperAnnotate. You will be working directly with the sales management and founding team daily, and be expected to have a critical impact on the organization and on its revenue.
 
It will be critical for this candidate to be someone who has an entrepreneurial mindset, thinks strategically, wants to build as much as sell, can prospect as well as close deals, and is willing to get his/her hands dirty.
 
This is a full-time, hybrid position based in San Francisco.
What You'll Do

  • Develop pipeline using demand generation, prospecting tools, professional networking, and enterprise selling methodology

  • Build account plans and manage a territory of target enterprises training and deploying frontier AI models

  • Explore & identify new opportunities in new accounts and expansion of existing accounts, including new use cases, data types, and modalities within current customers

  • Research and present business intelligence about customers' and prospects' model development roadmaps, data needs, and where human data services fit into their pipeline

  • Scope and shape services engagements, including specialized labeling workforces, data pipelines, and project structures aligned to customer model needs

  • Help develop and continuously improve our prospecting and selling motions

  • Own deals from prospect to close, and maintain relationship with delivery/customer success through renewals and expansions

What You'll Bring

  • 5+ years of experience selling and generating demand for enterprise services, with strong preference for candidates who have sold data services, managed services, or professional services into AI/ML buyers

  • Experience and relationships selling to executives and teams training frontier AI models at organizations such as Google, Microsoft, OpenAI, Anthropic, Apple, Meta, etc.

  • Previous experience selling into AI/ML, data labeling, data annotation, RLHF, or related human-data services required

  • Comfort selling complex, high-touch services deals where pricing, scope, and delivery model are negotiated and customized per account, rather than a standard licensing motion

  • High business acumen and ability to sell technology and business value to all levels of an organization including individual contributors, mid-level management, and C-level executives

  • Experience with MEDDICC and enterprise selling methodologies such as Command of the Message

  • Consistent track record of exceeding quota

  • Strong ability to succeed in multi-channel pipeline generation including inbound discovery calls, outbound prospecting, working with SDRs and working with partners

  • Comfortable with ambiguity, creative, and incredibly resourceful

  • Self-starter and independent worker, ambitious and takes initiative

  • An attentive listener, quick study, and skilled influencer

  • Strong customer presence, with polish and dedication to customer outcomes

  • Ability to travel occasionally to meet customers and attend industry events

What We Offer

  • Attractive base salary with significant stock options offering an ownership stake in the company's success

  • Comprehensive health, dental, and vision insurance plans

  • 401(k) retirement plan

  • Flexible paid time off, holidays, and parental leave policies

  • Opportunity to shape the future of a cutting-edge technology company

  • Access to ongoing training and professional development opportunities

  • Referral Program

Compensation range is total on-target earnings (OTE), which includes base salary and variable commission.
Only shortlisted candidates will be contacted for an interview!

Equal Opportunity

We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.