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No Experience Machine Learning Jobs in Wareham, MA

Aerotek

General Production

Plymouth, MA · On-site

$17.50 - $20/hr

No experience? No problem--we provide full training! About the Roles We have several entry‑level positions available, including: Machine Operator Help run production equipment, monitor machines ...

CAMPERS INN INC

Entry Level Technician

Raynham, MA · On-site

$22 - $25/hr

No experience necessary! With our in-house technician training program, you will be learning ... machinery * Assist in inspecting and testing for defective equipment to diagnose malfunctions

New

EY Technologies

Be Seen First

Extrusion Operator - All Shifts

Fall River, MA · On-site

$19/hr

... guidance of a team leader and supervisor, with no travel required between locations ... Proven experience in machine operation * Strong knowledge of quality control practices * Commitment ...

Town of Barnstable

SEAS Zamboni Operator

Hyannis, MA · On-site

$20.50/hr

Experience or training in ice making and ice making equipment maintenance preferred. Class D driver ... machinery. *Willing to train the right candidate(s)* $20.50 hourly, no benefits Apply: www ...

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How much do no experience machine learning jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for no experience machine learning in Wareham, MA is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $26.83 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

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No Experience Machine Learning jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

New Bedford, MA • Remote

$70 - $90/hr

Part-time

Re-posted 8 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

Apply