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Machine Learning Contract Remote Jobs in Stratham, NH

Trimble, Inc.

Technical Training Professional

Portsmouth, NH · On-site +1

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... live learning sessions. Essential Skills & Experience: • You possess 2+ years of direct ... Hybrid/Remote options available Travel Requirement: Up to 30% (with onsite training requiring no ...

All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Stratham, NH

Machine Learning Contract Remote information

See Stratham, NH salary details

$26.8K

$44.8K

$92.6K

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

As of Aug 15, 2026, the average yearly pay for machine learning contract remote in Stratham, NH is $44,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What are common challenges faced by remote machine learning contractors, and how can they be 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 skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

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 is a machine learning contract remote job?

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 popular job titles related to Machine Learning Contract Remote jobs in Stratham, NH?

For Machine Learning Contract Remote jobs in Stratham, NH, the most frequently searched job titles are:

What cities near Stratham, NH are hiring for Machine Learning Contract Remote jobs?

Cities near Stratham, NH 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 Stratham, NH as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $44,792 per year, or $21.5 per hour.

Postdoctoral Research Associate

University System of New Hampshire

Durham, NH • On-site, Remote

$55K/yr

Full-time

Re-posted 16 days ago

University System Of New Hampshire rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

46th of 618 rated colleges and universities

Job description

USNH Employees should apply within Workday through the Jobs Hub app

The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The goal of this project is to advance understanding of how ecosystem functioning, productivity, carbon uptake/stock, and resilience respond to climate change, and how these responses are mediated by biodiversity and management across regional to global scales. The successful applicant will integrate ground-based observations (e.g., eddy covariance measurements, forest inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions.
This position is funded by NASA. The appointment is for one year initially and may be renewed depending on funding availability and satisfactory performance.

Duties/Responsibilities

  • Conduct novel research to understand how terrestrial ecosystems respond to climate extremes (e.g., drought, heatwaves) and disturbances, and how these responses are mediated by biodiversity and management, using state-of-the-art ground-based and satellite observations as well as machine learning/deep learning methods.

  • Lead manuscript preparation and conference presentations on project findings, with a strong emphasis on publishing high-quality and high-impact papers.

Requirements

Minimum Acceptable Education & Experience:

  • A Ph.D. in areas such as ecology, remote sensing, atmospheric sciences/meteorology, biogeosciences, forestry/natural resources, environmental science, or a related field is required.

Knowledge, Skills & Abilities:

  • Applicants should be enthusiastic, creative, and highly motivated. Ideal candidates should have one or more of the following experiences: mechanistic understanding of ecosystem functioning and processes, satellite remote sensing, processing of large data sets, machine learning/deep learning, Earth system modeling, and synthesis of in-situ observations.

  • Strong communication, writing, and programming skills and publication record are highly desirable.

Applicant Instructions

Applicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application:

  • Resume/CV

  • Cover Letter

  • Contact Information for 3 Professional References

Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.

Compensation Pay Range:

$55,000

Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures.

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire's lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: USNH Employee Benefits | Human Resources

Location:

Durham

Salary Grade:

Faculty 01

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