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Data Annotation Tech Remote Jobs in New Jersey (NOW HIRING)

Data Architect - Remote

Parsippany, NJ ยท On-site +1

$64 - $82.50/hr

Data Architect Data Warehouse ODI and OIC Location: 100% Remote Duration: 6-12 months Mandatory ... technologies) for Life Sciences (Pharmaceutical, Biotech, Medical Device) clients. They will be ...

Play key roles cross-functionally with data, IT, governance, legal, and business. * Take a leading ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

SOGETI/ WESCO IT Business Analyst - Warehouse Management Systems Experience Level: 8+ years Remote ... Analyze complex business problems, gather and interpret data, and deliver actionable insights to ...

$130K - $150K/yr

You'll work closely with technology teams, risk management, compliance, legal, data owners, and ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

You'll work closely with technology teams, risk management, compliance, legal, data owners, and ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

... an IT remote support environment * Some travel may be required * The ability to lift up to 50 ... data to ensure a competitive compensation package is created for all our employees. The typical ...

Company Description Pull Skill Technologies Job Title: Business Analyst with Data Quality / Governance Position Type: 6 Months Contract Location: REMOTE Reports To: Project Manager Manager Notes:

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Data Annotation Tech Remote information

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are popular job titles related to Data Annotation Tech Remote jobs in New Jersey?

For Data Annotation Tech Remote jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in New Jersey look for?

The top searched job categories for Data Annotation Tech Remote jobs in New Jersey are:

What cities in New Jersey are hiring for Data Annotation Tech Remote jobs?

Cities in New Jersey with the most Data Annotation Tech Remote job openings:

Infographic showing various Data Annotation Tech Remote job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer - Remote

Jersey City, NJ โ€ข On-site, Remote

NAVA Software Solutions
IT Servicesย โ€ขย 51 - 200 employees

$125K - $150K/yr

Full-time

Re-posted 14 days ago


Job description

NAVA Software solutions is looking for a Data Engineer with one of our clients.
Details:
Data Engineer
Duration: 6 -12 months
Location: Remote project
Skill Sets & Experiences-
  • Experience modeling using RDF TripleStore for Graph Database
  • Strong experience using SQL
  • Strong experience using SPARQL within AWS Neptune/Anzo experience

As a Data Engineer you will:
  • Deliver quality work with little oversight and direction
  • Ensure all project deliverables are high quality by adhering to coding standards and best practices and participating in code reviews
  • Participate in integrated testing sessions of components and subsystems
  • Solve business issues by identifying and analyzing detailed requirements that translate business requirements into data integration and database system designs
  • Deliver status updates to team members on a regular basis and escalate issues and risks to project management as needed
  • Work collaboratively across teams and with other specialized individuals
  • Thrive in a fast-paced, technical environment

The ideal candidate has experience in column-oriented database technologies (i.e. Big Query, Redshift, Vertica, etc.) and traditional database systems (SQL Server, Oracle, MySQL, etc.); experience with data integration projects and automation via ETL Tools (i.e. Talend, Informatica, SSIS, etc.); experience working with different query languages (i.e. PL-SQL, T-SQL); experience in at least one programming language (i.e. Java or Python). Experience in data integration automation via Google DataFlow, Apache Beam, Spark, AWS EMR, etc. a huge plus.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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