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Remote Annotator Jobs (NOW HIRING)

Mercor

Video Game Annotation Specialist

New York, NY · Remote

$16 - $17/hr

Position: Video Game Annotator Type: Contract Compensation: $16-$17/hour Location: Remote Role Responsibilities * Annotate assigned games such as Minecraft and open-world games for structured ...

e-Solutions Inc

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Nutrition & Dietary Habits Annotator

San Francisco, CA · Remote

$30 - $32/hr

In this remote freelance opportunity, you will evaluate, annotate, and validate nutrition-related data to improve the quality, accuracy, and safety of AI-generated responses related to healthy eating ...

e-Solutions Inc

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Licensed Mental Health Professional Annotator

San Francisco, CA · Remote

$40/hr

Licensed Mental Health Professional (Remote | Contract) Company: Turing Job Type: Contract / Freelance Location: 100% Remote (Work from Home) Duration: 8 Weeks About the Role Turing is seeking ...

Driver AI Inc.

Applied Data Scientist, LLM Evaluation

Austin, TX · On-site +1

$175K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote or Austin, Tx Our value is directly tied to the quality of our content at scale. The ... Experience with LLM-as-judge approaches, inter-annotator agreement, and rubric design for ...

LILT, Inc

AI Training Contributor - Albanian - Remote

  • Medical

  • Retirement

  • PTO

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

LILT, Inc

AI Training Contributor - Khmer - Remote

  • Medical

  • Retirement

  • PTO

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

LILT, Inc

AI Training Contributor - Armenian - Remote

  • Medical

  • Retirement

  • PTO

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

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Remote Annotator information

What are the key skills and qualifications needed to thrive as a remote annotator, and why are they important?

To thrive as a Remote Annotator, you need strong attention to detail, data entry accuracy, and familiarity with data labeling or annotation concepts, often supported by a high school diploma or equivalent. Proficiency with online annotation platforms, tools like Labelbox or Supervisely, and sometimes knowledge of basic programming or image editing software is valuable. Excellent time management, self-motivation, and clear communication skills help you excel in independent and collaborative remote environments. These skills ensure that annotated data is accurate, consistent, and valuable for training reliable AI and machine learning systems.

What are some common challenges faced by remote annotators, and how can they be managed effectively?

Remote annotators often encounter challenges such as maintaining focus during repetitive tasks, managing deadlines across multiple projects, and ensuring clear communication with project managers or team leads in a virtual environment. To address these, it's helpful to establish a dedicated workspace, use productivity tools to track progress, and proactively seek clarification on guidelines when needed. Building a routine and participating in team check-ins can also foster engagement and help annotators stay aligned with project requirements.

What is the difference between Remote Annotator vs Data Labeler?

AspectRemote AnnotatorData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentRemote, often collaborative with teamsRemote or on-site, often individual work
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Common Search/ComparisonRemote Annotator vs Data Labeler

The main difference between a Remote Annotator and a Data Labeler lies in the scope of work. Remote Annotators often perform detailed annotations, such as labeling images, videos, or audio for AI training, requiring some technical skills. Data Labelers typically focus on basic labeling tasks with minimal technical requirements. Both roles are remote and used in similar industries like AI and machine learning, but Remote Annotators usually handle more complex annotation tasks.

What is a remote annotator?

Remote annotators are professionals who label, tag, or categorize data—such as images, text, audio, or video—from a remote location, usually working from home. They play an essential role in preparing data for machine learning models and artificial intelligence systems by ensuring the information is accurately annotated. Remote annotators often use specialized software to complete their tasks and need strong attention to detail. This job is ideal for those seeking flexible, work-from-home opportunities and is common in industries like technology, healthcare, and autonomous vehicles.
More about Remote Annotator jobs
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What are the most commonly searched types of Annotator jobs? The most popular types of Annotator jobs are:
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What job categories do people searching Remote Annotator jobs look for? The top searched job categories for Remote Annotator jobs are:
Remote Annotator jobs near you
Infographic showing various Remote Annotator job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 54% Full Time, 15% Part Time, and 30% Contract. Highlights an 58% Physical, and 42% Remote job distribution.

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)

NUC S.A.I.

New York, NY • On-site, Remote

Contractor

Re-posted 22 days ago

Job description

About Us
Nucs AI is a pioneering MedTech startup focused on transforming prostate cancer care through advanced AI-driven software solutions. Our mission is to deliver personalized treatment options that enhance patient outcomes and streamline clinical workflows. We collaborate with leading medical institutions and pharmaceutical companies globally to achieve groundbreaking results in patient care.
Role Overview
Nucs AI is entering a significant phase of growth as we expand our capabilities across nuclear molecular imaging and broaden the clinical applications of our AI-driven products. As we scale, we are strengthening our clinical annotation and validation efforts to ensure our models remain accurate, relevant, and tightly aligned with real-world oncology care. To support this expansion, we are seeking an experienced Physician Annotator to play a critical role in the development and continuous improvement of our clinical AI solutions.
This role combines hands-on nuclear medicine imaging study review, structured clinical annotation, and thoughtful product feedback to ensure AI models are clinically accurate, reliable, and aligned with real-world care delivery. The Physician Annotator will serve as a key bridge between clinical practice, data science, and product teams - bringing practical expertise to annotation standards, model validation, workflow evaluation, and performance refinement.
As part of a fast-moving, clinically grounded AI team, you will directly contribute to how advanced imaging technologies are translated into trusted tools that support physician decision-making and improve cancer care delivery at scale.
Key Responsibilities
Clinical Expertise
  • As a subject matter expert contribute to the development and refinement of annotation protocols and clinical guidelines for different use cases.
  • Identify edge cases, ambiguities, and potential sources of bias in clinical data and model behavior
  • Participate in applied clinical AI research, including hypothesis development and evaluation of model performance.
  • Assist in generating research insights that may inform internal studies, publications, or regulatory documentation

Clinical Annotation & Validation
  • Perform reviews of nuclear medicine imaging exams and provide clinical insight and annotations to support AI model training and refinement. Clinical review tasks include review of studies with and without AI assistance for identification and delineation of areas of interest on a variety of nuclear medicine images (e.g., FDG, PSMA-PET/CT, SPECT) with precision and accuracy.
  • Validate AI outputs for clinical accuracy, safety, and relevance across defined use cases.
  • Review model errors and edge cases; provide structured clinical insights to improve performance.
  • Advise on clinically meaningful metrics, thresholds, and evaluation criteria.

Strategic product feedback
  • Provide concise, actionable clinical feedback on product features and workflows.
  • Advise product teams on feature prioritization based on clinical impact, risk, and feasibility.
  • Support retrospective and prospective analyses to assess clinical validity and real-world utility of AI models.
  • Evaluate usability and workflow integration from a clinician's perspective.

Cross-Functional Collaboration
  • Collaborate asynchronously with clinical, product, and data science teams.
  • Serve as a part-time clinical advisor supporting rapid iteration and informed decision-making.

Why Join Nucs AI
  • Work at the frontier of clinical AI: Help advance next-generation oncology tools in nuclear molecular imaging.
  • Have real clinical influence: Your work and feedback directly shape model performance, product behavior, and clinical reliability.
  • High scientific rigor: Contribute to clinically grounded development with a strong focus on safety, accuracy, and real-world validity.
  • Collaborate with a high-caliber team: Work closely with clinicians, engineers, and data scientists who move fast and value clarity.
  • Flexible by design: Part-time, contract, and fully remote with flexible hours (location restrictions may apply).
  • Mission that matters: Help improve how cancer care is delivered - at scale, and with real patient impact.

Required Qualifications
  • ABR/ABNM Board certified physician with minimum 3 or more years of experience in Nuclear Medicine (or Diagnostic Radiology with subspecialty certification in Nuclear Medicine).
  • Active, unrestricted medical license in the US.
  • Possesses demonstrated expertise in interpreting PET imaging for radioligand tracers such as FDG, PSMA, and SSTR, and in radioligand therapies.
  • Exceptional attention to detail and a commitment to producing high-quality work.

Preferred Experience
  • Prior experience with healthcare AI, digital health, or clinical informatics.
  • Experience with data annotation, clinical validation, or quality review.
  • Familiarity with ML concepts, model evaluation, or human-in-the-loop systems.
  • Experience advising on product strategy or clinical product development.

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