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Remote Data Annotation Jobs in New Jersey (NOW HIRING)

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Remote Data Annotation information

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$9

$33

$74

How much do remote data annotation jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote data annotation in New Jersey is $33.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.15 and $43.46 per hour, depending on experience, location, and employer.

How hard is it to get hired by data annotation?

Getting hired for a remote data annotation role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the application process relatively accessible, though competition can vary based on the employer and job volume.

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

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.

How to make $1000 a week remote?

Remote data annotation jobs typically pay per task or hour, with earnings varying based on experience, accuracy, and the complexity of the data. To make $1000 a week, you need to work consistently, often requiring 20-40 hours depending on pay rates, which can range from a few cents to several dollars per annotation. Building skills in specific tools and maintaining high accuracy can help increase your earning potential in this field.

What are the typical daily tasks for someone working in Remote Data Annotation?

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.

How can I make 2000 a week working from home?

Remote data annotation jobs can pay between $10 and $20 per hour, so earning $2000 weekly would require working approximately 100 to 200 hours. Increasing income may involve taking on multiple projects, improving accuracy to access higher-paying tasks, or gaining specialized skills in areas like medical or AI data annotation. Consistent work and efficient time management are essential to reach this income level.

What is a Remote Data Annotation job?

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.

Does data annotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with compensation varying based on complexity and platform. Many remote data annotation roles offer competitive pay, especially for experienced annotators using tools like labeling software, and some positions provide consistent income. However, pay rates can differ widely across companies and projects, so it is important to research specific opportunities.
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Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in New Jersey as of July 2026, with employment types broken down into 2% Locum Tenens, 39% Full Time, 22% Part Time, 1% Contract, 35% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $69,630 per year, or $33.5 per hour.
Senior Clinical Programmer - SDTM and R/SAS 3635027

Senior Clinical Programmer - SDTM and R/SAS 3635027

Axiom Path

Bridgewater, NJ • Remote

$75 - $80/hr

Full-time

Posted 12 days ago

Job description

Be Part Of A High-Performing Team:

Join a growing clinical programming function within a science-driven biopharmaceutical organization developing therapies for patients with serious and rare diseases. This newly established team is bringing critical SDTM programming capabilities in-house and works closely with data management, biostatistics, and statistical programming. The environment is collaborative, technically rigorous, and well suited to an experienced programmer who enjoys building reliable clinical-data solutions while helping shape new internal processes.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a fully remote, 12-month consulting assignment open to candidates located anywhere in the United States. Availability during Eastern Time business hours is preferred.

The role offers the opportunity to become one of the early members of a growing clinical programming team and contribute directly to the organization’s transition from outsourced SDTM programming to an internal delivery model. A contract extension may be possible based on performance and business needs, although permanent conversion is not currently planned.

How You Will Make An Impact:

  • Create production-quality SDTM datasets using both SAS and R.
  • Independently perform quality control and validation of SDTM datasets.
  • Develop dataset specifications using CDISC standards and current SDTM Implementation Guides.
  • Create annotated CRFs, including domain mappings, annotation boxes, controlled terminology, and page-level placement.
  • Apply existing team macros and programming utilities to support annotated CRF and SDTM production.
  • Develop SAS- and R-based listings and reports supporting medical monitoring, clinical data management, and statistical endpoint monitoring.
  • Perform clinical-data checks, reconciliations, and issue investigation as assigned.
  • Collaborate closely with data managers, biostatisticians, statistical programmers, and clinical-study stakeholders.
  • Help establish scalable internal standards, workflows, and quality practices as SDTM programming transitions in-house.
  • Manage multiple study deliverables independently while maintaining accuracy, traceability, and timely execution.

Do you bring proven success in SDTM programming with both SAS and R?

  • Approximately 8–10 years of hands-on clinical programming experience in pharmaceutical, biotechnology, CRO, or related regulated clinical environments.
  • Strong production programming proficiency in both SAS and R.
  • Demonstrated experience creating and independently quality-checking SDTM datasets.
  • Strong knowledge of CDISC standards and current SDTM Implementation Guides.
  • Hands-on experience creating annotated CRFs, including page-level annotations and terminology mapping.
  • Ability to use established macros, functions, and programming utilities.
  • Experience translating raw clinical data, CRFs, specifications, and programming standards into compliant SDTM deliverables.
  • Strong analytical, troubleshooting, documentation, and quality-control skills.
  • Ability to work independently as an individual contributor in a small and evolving team.
  • Strong written and verbal communication skills.
  • Experience with JReview is highly preferred.
  • Experience with Shiny, Pharmaverse, or R Markdown is highly desirable.
  • Exposure to SQL programming is preferred.
  • Experience supporting medical monitoring, data-management reports, reconciliations, or statistical endpoint monitoring is beneficial.

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