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Part Time Remote Machine Learning Jobs in New York, NY

TripleTen

FDE Subject Matter Expert (Part-time)

New York, NY · Remote

$61 - $81.50/hr

Our team is fully remote and globally distributed, and we serve a large, active student base across ... Work closely with Learning Experience Designers to make projects and lessons educationally sound ...

TripleTen

FDE Subject Matter Expert (Part-time)

New York, NY · Remote

$57 - $76.25/hr

Our team is fully remote and globally distributed, and we serve a large, active student base across ... Work closely with Learning Experience Designers to make projects and lessons educationally sound ...

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All JobsMachine Learning JobsPart Time Remote Machine Learning JobsPart Time Remote Machine Learning Jobs in New York, NY

Part Time Remote Machine Learning information

See New York, NY salary details

$27.9K

$46.6K

$96.3K

How much do part time remote machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for part time remote machine learning in New York, NY is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What is a part time remote machine learning job?

Part time remote machine learning jobs are positions where professionals work on machine learning projects or tasks for a limited number of hours per week, and do so from a location outside the traditional office environment, often from home. These roles typically involve developing, testing, or deploying machine learning models, analyzing data, and collaborating with teams online. They are ideal for people seeking flexibility, such as students, freelancers, or individuals balancing other commitments, while contributing to projects in fields like AI, data science, or analytics.

How do part time remote machine learning roles typically structure collaboration and communication with the rest of the team?

Part-time remote machine learning professionals often collaborate with teams using digital tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular check-ins, virtual stand-ups, and shared documentation ensure alignment on project goals and timelines despite differing work hours. Clear communication and proactive updates are important, as team members may be dispersed across time zones and working non-overlapping schedules. Flexibility and self-motivation are key to staying connected and contributing effectively in this distributed work environment.

What are the key skills and qualifications needed to thrive as a part time remote machine learning professional, and why are they important?

To thrive as a Part Time Remote Machine Learning professional, you need a strong grasp of mathematics, statistics, programming (commonly Python), and a relevant educational background such as a degree in computer science or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch) and version control systems like Git is typically required. Excellent time management, self-motivation, and clear communication skills are crucial for navigating remote collaboration and project deadlines. These skills ensure that you can independently deliver high-quality ML solutions while effectively contributing to distributed teams.

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

AspectPart Time Remote Machine LearningPart Time Remote Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative teams, project-focused
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research
Common Search IntentPart Time Remote Machine Learning jobs, freelance ML rolesPart Time Remote Data Scientist jobs, freelance data roles

Part Time Remote Machine Learning roles focus on developing algorithms and models, often requiring programming and ML frameworks. Part Time Remote Data Scientist positions involve analyzing data, creating insights, and may include statistical analysis. Both roles are remote and flexible but differ in core responsibilities and skill sets.

What are the most commonly searched types of Remote Machine Learning jobs in New York, NY?

The most popular types of Remote Machine Learning jobs in New York, NY are:

What are popular job titles related to Part Time Remote Machine Learning jobs in New York, NY?

For Part Time Remote Machine Learning jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Machine Learning jobs in New York, NY look for?

The top searched job categories for Part Time Remote Machine Learning jobs in New York, NY are:

What cities near New York, NY are hiring for Part Time Remote Machine Learning jobs?

Cities near New York, NY with the most Part Time Remote Machine Learning job openings:

Part Time Remote Machine Learning jobs near you
Infographic showing various Part Time Remote Machine Learning job openings in New York, NY as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

FDE Subject Matter Expert (Part-time)

TripleTen

New York, NY • Remote

$61 - $81.50/hr

Part-time

Posted 12 days ago

Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're looking for the person who brings a Forward Deployed Engineering curriculum to life for students: you would be part of a team of senior authors who help create the content for the course. The best person for this is someone who has actually gone into client environments and carried AI deployments to production, has opinions about what a sound deployment looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: Working production engineers, not career changers, with six to fifteen years in, mostly backend, with senior and staff engineers and the occasional engineering manager. They've shipped real software for years and are moving deliberately into forward-deployed AI work; some are already interviewing for FDE roles while they study. What they're missing is agentic systems and the client-facing half of delivery.
Format: asynchronous, estimated 20 hrs/week.
Please submit all resumes or CVs in English.
What you will do
  • Design and build the projects students work on end to end - scope, learning goals, technical infrastructure, environments, and supporting databases or datasets.
  • Write clear submission guidelines and assessment criteria (rubrics) that reviewers can apply consistently
  • Work closely with Learning Experience Designers to make projects and lessons educationally sound and engaging: refining wording, pacing, and difficulty calibration across the course.
  • Research, evaluate, and sign off on technical solutions and tooling so the curriculum stays current and relevant to what employers actually use.
  • Contribute to sales and marketing enablement - training commercial teams on what the course covers and what graduates can do.

Requirements
  • 7+ years of professional engineering experience, currently working at senior level or above (Senior/Lead/Staff Engineer, Forward Deployed Engineer, Solutions Architect, or technical lead on customer-facing delivery).
  • Has personally owned deployments end-to-end in real client or enterprise environments - first call through production go-live and adoption.
  • Practical experience with databases and the infrastructure needed to run student projects (cloud environments, containers, version control, CI where relevant).
  • Ability to break complex technical work into scoped, assessable tasks at a defined difficulty level.
  • Strong written communication in English - you'll produce a lot of instructional text and it needs to be unambiguous.
  • Comfort collaborating cross-functionally with instructional design, and explaining technical concepts to non-technical stakeholders.
  • Experience mentoring, teaching, tutoring, or reviewing others' code.

Preferred experience:
  • Prior EdTech or rubric/assessment design experience.

What we can offer you
  • Fully remote work.
  • A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
  • Professional trust and autonomy: no micromanaging.
  • A diverse, international, close-knit team excited to work with you!

Apply