ZipRecruiter

Log In

2

Machine Learning Contract Remote Jobs in Teaneck, NJ

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Experience with machine learning and analytics. * Familiarity with containerization technologies ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

next page

Showing results 1-20

All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Teaneck, NJ

Machine Learning Contract Remote information

See Teaneck, NJ salary details

$28.1K

$46.9K

$97K

How much do machine learning contract remote jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning contract remote in Teaneck, NJ is $46,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,800.00 and $50,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are machine learning contract remote jobs?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are the most commonly searched types of Machine Learning Remote jobs in Teaneck, NJ? The most popular types of Machine Learning Remote jobs in Teaneck, NJ are:
What cities near Teaneck, NJ are hiring for Machine Learning Contract Remote jobs? Cities near Teaneck, NJ with the most Machine Learning Contract Remote job openings:
Machine Learning Contract Remote jobs near you
Infographic showing various Machine Learning Contract Remote job openings in Teaneck, NJ as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 19% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $46,944 per year, or $22.6 per hour.

Machine Learning Research Scientist (Remote)

Moody's Analytics

New York, NY • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice. 

Broadly, we are looking for colleagues who are passionate about: 

  • Natural language processing 
  • Information retrieval 
  • Information extraction 
  • Graph Neural Networks 
  • Recommender systems 
  • Knowledge graphs 
  • Explainable AI 

 

We'll trust you to: 
 

  • Collaborate with colleagues on production systems and applications 
  • Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace 
  • Work on POCs and research prototypes 
  • Provide thought leadership in machine learning 
  • Represent Moody's Analytics at scientific and industry conferences 
  • Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR 
     

You'll need to have: 

  • Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience. 
  • Publication record in top-tier academic conferences and journals 
  • Proficiency in modern programming languages such as Python 
  • Proficiency in leading research projects 

Nice to have: 

  • Experience with MLOPs technologies and workflows 
  • Experience in working with engineering teams on taking research prototypes to production
Employment Type: FULL_TIME

Apply