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Data Annotation Jobs in Secaucus, NJ (NOW HIRING)

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.

Mercor

Data Scientist - AI/ML Expert

New York, NY · Remote

$70 - $100/hr

Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.

Mercor

Human Data Reviewer - Fully Remote

New York, NY · Remote

$50/hr

Experience with large-scale AI data annotation or evaluation programs. * Background in QA, operations, trust & safety, or structured review work. * Familiarity with multi-step rubric-based ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Prior experience with data annotation, labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks. Application ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Prior experience with data annotation, labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks. Application ...

Mercor

Data Annotator

New York, NY · Remote

$50/hr

Experience with large-scale AI data annotation or evaluation programs. * Background in QA, operations, trust & safety, or structured review work. * Familiarity with multi-step rubric-based ...

Mercor

Image QA Reviewer - AI Lab

New York, NY · Remote

$50 - $60/hr

Past experience in AI training , model evaluation, or data annotation. Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume * Submit form Resources ...

Mecka AI

Human Data Architect, Quality

New York, NY · On-site

$130K - $160K/yr

Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation methodology, dataset curation, data-centric ML, ground truth design, or labeling-specifications work ...

Mercor

Bilingual Analyst - Urdu Expert

New York, NY · Remote

$15 - $20/hr

Experience with RLHF, model evaluation, or data annotation work * Experience writing or editing high-quality written content * Experience comparing multiple outputs and making fine-grained ...

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All JobsData Annotation JobsData Annotation Jobs in Secaucus, NJ

Data Annotation information

Is data annotation a legitimate?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.

Do people actually make money on data annotation?

Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
What are the most commonly searched types of Data Annotation jobs in Secaucus, NJ? The most popular types of Data Annotation jobs in Secaucus, NJ are:
What job categories do people searching Data Annotation jobs in Secaucus, NJ look for? The top searched job categories for Data Annotation jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Data Annotation jobs? Cities near Secaucus, NJ with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Secaucus, NJ as of June 2026, with employment types broken down into 66% Full Time, 14% Part Time, 3% Temporary, and 17% Contract. Highlights an 58% In-person, 3% Hybrid, and 39% Remote job distribution.

Data Science Manager

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

Posted 21 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science Experts
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
  • Design challenging data science tasks and write accurate, well-structured analytical solutions.
  • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
  • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.