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Full Time Machine Learning Data Annotation Jobs in New Jersey

Design and implement machine learning models, including feature engineering and validation, to ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Design and implement machine learning models, including feature engineering and validation, to ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Design and implement machine learning models, including feature engineering and validation, to ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Design and implement machine learning models, including feature engineering and validation, to ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Design and implement machine learning models, including feature engineering and validation, to ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Design and implement machine learning models, including feature engineering and validation, to ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Design and implement machine learning models, including feature engineering and validation, to ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. What you'd be doing:

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Showing results 21-40

Full Time Machine Learning Data Annotation information

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in New Jersey? The most popular types of Machine Learning Data Annotation jobs in New Jersey are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in New Jersey? For Full Time Machine Learning Data Annotation jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in New Jersey look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in New Jersey are:
Infographic showing various Full Time Machine Learning Data Annotation job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

(USA) Principal, Data Scientist

Walmart

Hackensack, NJ • On-site

$132K - $264K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,373 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions that drive strategic business decisions. This role requires deep expertise in data architecture, statistical analysis, and coding to translate complex business challenges into scalable, data-driven solutions. You will collaborate across functions to identify data sources, validate models, and ensure impactful insights. By mentoring teams and applying innovative techniques, you will enhance Walmart’s data capabilities and contribute to delivering measurable business value through rigorous analysis and technology-driven strategies.
About the team:
At Walmart Connect, the AdTech Engineering team builds advanced platforms and AI-driven solutions that unify advertising, commerce, and data. The team tackles complex challenges including automated media generation and next-generation AI systems to improve operations for advertisers, sellers, and internal partners. Utilizing extensive first-party data and an AI-first approach, the team pioneers intelligent agents and autonomous workflows that shape the future of retail advertising. Engineers contribute to impactful products that drive measurable outcomes, accelerate growth, and influence millions of customer journeys daily, applying expertise in machine learning, data architecture, and advanced analytics.
What you'll do:
  • Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges.
  • Analyze business problems to identify root causes and recommend data-driven approaches aligned with strategic objectives.
  • Identify, source, and validate high-quality data from to support analytical modeling and insights generation.
  • Design and implement machine learning models, including feature engineering and validation, to drive predictive and prescriptive analytics.
  • Collaborate with stakeholders to translate business requirements into actionable data strategies and visualization frameworks.
  • Mentor team members on analytical techniques, coding best practices, and model development.
  • Monitor model performance and ensure sustainability through lifecycle management and continuous improvement.

What you'll bring:
  • Extensive experience in machine learning algorithms, deep learning, and advanced statistical analysis.
  • Proficiency in Python programming and familiarity with full model deployment life cycle. 
  • Strong knowledge of data architecture, causal inference, and agentic AI systems.
  • Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.
  • Expertise in translating complex business problems into data-driven solutions with measurable impact.
  • Proven leadership skills in mentoring teams and guiding technical development.
  • Ability to communicate insights effectively through advanced data visualization and storytelling techniques.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 221 River St, Hoboken, NJ 07030, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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Benefits

Hours and flexibility

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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