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Remote Data Annotation Jobs in Princeton, NJ (NOW HIRING)

Mercor

Video Data Reviewer - Egocentric

New York, NY · Remote

$20 - $25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

New

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

YO AI Labs

Medical Coder - Remote

New York, NY · Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

HumanSignal

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

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All JobsData Annotation JobsRemote Data Annotation JobsRemote Data Annotation Jobs in Princeton, NJ

Remote Data Annotation information

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable options.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or tools like labeling software.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What job categories do people searching Remote Data Annotation jobs in Princeton, NJ look for?

The top searched job categories for Remote Data Annotation jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Remote Data Annotation jobs?

Cities near Princeton, NJ with the most Remote Data Annotation job openings:

Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Princeton, NJ as of August 2026, with employment types broken down into 45% Full Time, 22% Part Time, 5% Temporary, and 28% Contract. Highlights an 100% 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 26 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.

Apply