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Annotation Labelling Jobs (NOW HIRING)

Imaging Tech II - Non-Exempt

MN · On-site +1

$38 - $43/hr

Collaborate with various departments on annotation and understanding annotation review and implementation of annotation labels for AI development purposes. * Deliver annotation projects assigned and ...

Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation and redaction standards to ensure consistency. * Conduct quality checks to ...

Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation and redaction standards to ensure consistency. * Conduct quality checks to ...

Data Quality Partner Lead

San Jose, CA · On-site

$120K - $180K/yr

Direct experience managing data annotation, labeling, or content review vendors * Background at a frontier AI lab, autonomous vehicle company, or other organization where data quality at scale was a ...

Showing results 41-60

Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

More about Annotation Labelling jobs
What cities are hiring for Annotation Labelling jobs? Cities with the most Annotation Labelling job openings:
What states have the most Annotation Labelling jobs? States with the most job openings for Annotation Labelling jobs include:
Infographic showing various Annotation Labelling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 44% Full Time, 53% Part Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.

Creative Producer - Special Projects

Apple

Cupertino, CA

$164K - $315K/yr

Full-time

Medical, Dental, Retirement

Re-posted 24 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 676 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
The Special Projects team is seeking a Creative Producer who sits at the intersection of performance craft and machine learning data quality. You will direct on-camera and voice talent to capture richly authentic human performances for AI/ML model training and evaluation, and serve as a lead expert annotator - building the guidelines, taxonomies, and decision trees that empower cross-functional annotation teams to label data consistently and at scale. This is a rare opportunity to bring the precision of a director's eye to one of the most technically demanding production environments in the industry.
Description
Creative Producer is responsible for two equally critical functions: leading performance capture sessions that produce high-quality visual and audio datasets, and developing the annotation frameworks that give those datasets meaning for ML pipelines.
On the production side, you will coach actors and non-actors through structured sessions designed to capture the full spectrum of authentic human expression - facial, gestural, and vocal. On the annotation side, you will serve as the subject-matter expert in emotion and expression labeling, authoring the guidelines, decision trees, and calibration standards that cross-functional annotation teams rely on to label data accurately and at scale.
The ideal candidate brings deep experience in performance direction - film, television, or theater - combined with the analytical rigor to translate nuanced human behavior into structured, repeatable annotation frameworks. You are equally at home on a production floor and in a documentation sprint, and you understand that both are essential to building AI systems that genuinely understand people.","responsibilities":"Performance Direction & Capture Lead structured on-camera and voice recording sessions, directing actors and non-actors to deliver natural, emotionally authentic performances across a defined range of expressions, emotions, and vocal nuances that meet ML dataset specifications.
Expert Annotation & Guideline Development Serve as the domain expert in expression and emotion labeling - designing annotation guidelines, taxonomies, and decision trees that enable cross-functional annotation teams to label data consistently, accurately, and at scale.
Quality & Data Standards Establish performance benchmarks and emotional fidelity standards, review and approve recorded materials, and ensure all data collection and labeling processes meet technical, ethical, and consent-based requirements.
Cross-Functional Collaboration Partner with ML teams, PMO, and data engineers to translate technical dataset requirements into actionable performance direction, bridging the creative and technical domains to support scalable, repeatable capture and annotation pipelines.
Preferred Qualifications
Hands-on background in annotation, labeling QA, or annotation tooling workflows.
Familiarity with inter-annotator agreement methods and quality calibration practices.
Background in acting, theater, or vocal/speech performance.
Experience directing diverse talent across cultures, languages, and performance backgrounds.
Familiarity with audio engineering fundamentals and camera framing principles.
Minimum Qualifications
5+ years of professional directing experience in film, television, theater, or commercial production.
Demonstrated expertise in coaching actors and non-actors toward authentic emotional and vocal performances.
Deep fluency in facial expression, micro-expression, body language, vocal modulation, and emotional psychology.
Experience working in AI training data, motion capture, or structured data collection environments.
Experience structuring and managing studio recording environments (audio and/or video).
Strong written communication skills with the ability to produce clear, precise documentation (guidelines, protocols, taxonomies).
Excellent cross-functional collaboration and interpersonal skills.
Able to Travel domestically - up to 25%. NY/LA/SCV
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $164,500 and $315,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976