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Machine Learning Contract Remote Jobs in Boston, MA

Maximus

AI/ML Software Developer

Brockton, MA · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Maximus

AI/ML Software Developer

Lowell, MA · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Maximus

AI/ML Software Developer

Cambridge, MA · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Maximus

AI/ML Software Developer

Babson Park, MA · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure ...

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C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117.20K - $140.70K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Redhat

Senior Manager, AI Inference

Boston, MA · On-site +1

$210.73K - $358.07K/yr

As a Senior Engineering Manager of the Machine Learning Engineering team focused on vLLM inference ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Motional

Director, Prediction and ML Planning

Boston, MA · On-site +1

$288K - $396K/yr

Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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All JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Boston, MA

Machine Learning Contract Remote information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

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

As of May 29, 2026, the average yearly pay for machine learning contract remote in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Machine Learning Contract Remote jobs in Boston, MA? For Machine Learning Contract Remote jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in Boston, MA look for? The top searched job categories for Machine Learning Contract Remote jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning Contract Remote jobs? Cities near Boston, MA 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 Boston, MA as of May 2026, with employment types broken down into 1% As Needed, 69% Full Time, 24% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.
Machine Learning and AI Opportunities

Machine Learning and AI Opportunities

SharkNinja

Needham, MA • Remote

Other

Posted 19 days ago

Job description

Note:  This is a Pipeline Opening and Not Tied to A Specific Opening

The AI Product Manager owns strategy, roadmap, and delivery for AI initiatives across the enterprise. This role translates business objectives into a clear prioritized backlog, collaborating with engineering teams and external partners to deliver impactful solutions that drive measurable business impact through revenue growth or new operational efficiencies. The Product Manager works closely with Global Data Product Management, including Data and MDM, to ensure AI products are built on trusted, standardized data foundations. The role requires strong judgment in application integrations and build vs. buy tradeoffs, balancing speed, cost, and enterprise standards.

Key Responsibilities

Area

What You'll Own

Product Strategy & Vision

Define a 3-9-month AI roadmap aligned to company strategic goals, with clear problem statements and value hypotheses to maximize value.

Portfolio & Roadmap

Convert strategy into prioritized increments with PRDs, acceptance criteria, and release plans; keep a transparent backlog.

Evaluation & Experimentation

Own evaluation for AI features: offline tests, human and automated evals, and online A/B experiments to optimize quality, latency, and cost effectiveness. Publish decision logs for model, prompt, and dataset changes.

Responsible AI & Guardrails

Define safety, privacy, and compliance requirements; implement guardrails and review rituals with Security and Legal; ensure traceability of data, prompts, and outputs.

Application Integrations

Define product requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data platforms; align on data contracts, SLAs, auth/PII handling, and system  observability with Platform teams.

Build vs Buy

Lead structured tradeoff analyses (TTV, TCO, vendor lock in, differentiation, compliance). Run proofs of value with vendors when needed and  recommend paths forward, highlighting risks and contingency plans..

CrossFunctional Leadership

Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders; keep scope, risks, and dependencies visible.

Impact Measurement

Define clear KPIs that connect business outcomes to product performance, and provide executives with simple, actionable reporting against those targets.

Partnerships

Collaborate with Director, ML and AI, Security, Legal, Procurement, and Global Data Product Management (Data and MDM) to align standards, governance, and delivery.

 

Required Qualifications

  • 5+ years in product management with shipped data or AI features tied to measurable outcomes.
  • Proven ownership of evaluation and experimentation for AI features (offline metrics, human/auto evals, and A/B testing).
  • Handson experiences driving application integrations at enterprise scale (APIled and iPaaS patterns, SLAs, data contracts, identity).
  • Demonstrated ability to lead build vs. buy decisions, supported by clear financial models and risk analyses.
  • Excellent executive communication and stakeholder leadership.

Preferred Qualifications

  • Experience optimizing Amazon sales and ad channels.
  • Experience with Salesforce Cloud and CDP integrations.
  • Exposure to LLMOps practices (prompt versioning, guardrails, eval frameworks), vector search/RAG, or model observability.

 Success Metrics (first 12 months)

  • AI roadmap approved and in execution within 90 days.At least two AI product increments shipped with adoption targets met.
  • Application integrations delivered on time with measurable data quality and reliability improvements.
  • At least two major technology decisions completed with a formal build vs. Buy analysis and exec approval.
  • AI initiatives deliver a minimum 5x ROI on Capex investments, contributing directly to revenue growth.

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