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Remote No Experience Machine Learning Jobs in Raleigh, NC

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Marpai Administrators LLC

Claims Processor

Cary, NC · Remote

$24 - $30/hr

... learning and machine learning to maximize population health outcomes with the greatest cost ... Validate the information on all claims to ensure there is no missing or incomplete information

Spieldenner Financial Group

Remote Sales

Raleigh, NC · On-site +1

$10K - $20K/wk

No experience? No problem. We provide training, mentorship, and a proven system to help you succeed ... Fully remote, flexible work environment * Growth-focused culture with advancement opportunities ...

Hitachi

Power System Consultant

Raleigh, NC · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The opportunity Kickstart your career in ... As a Junior Energy Consulting Engineer, you'll work alongside experienced consultants on studies ...

Hitachi

Associate Project Manager

Raleigh, NC · Remote

Project/Program Management Job Schedule: Full time Remote: No The Opportunity Join Hitachi Energy ... In this highimpact role, you'll partner with experienced project managers to support strategic ...

DataAnnotation

QA Engineer - AI Trainer

Cary, NC · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Automated QA Engineer - AI Trainer

Cary, NC · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

QA Engineer - AI Trainer

Durham, NC · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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All JobsMachine Learning JobsRemote No Experience Machine Learning JobsRemote No Experience Machine Learning Jobs in Raleigh, NC

Remote No Experience Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do remote no experience machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote no experience machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What are some typical entry-level tasks for remote machine learning roles that require no prior experience?

In remote entry-level machine learning positions that don't require experience, you'll often start with foundational tasks such as data cleaning, labeling datasets, basic exploratory data analysis, or assisting with the implementation of machine learning algorithms under supervision. You may also be responsible for maintaining project documentation and supporting more experienced team members with research or testing. Collaboration usually takes place via online platforms, so strong communication and the ability to learn new tools quickly are important. These tasks are designed to help you build foundational skills and gradually take on more complex responsibilities as you grow in the role.

What are the key skills and qualifications needed to thrive in a remote, entry-level machine learning role, and why are they important?

To thrive in a remote, entry-level machine learning role, you need a solid understanding of mathematics, programming (especially Python), and basic machine learning concepts, often gained through online courses or a relevant degree. Familiarity with technical tools such as Jupyter Notebooks, TensorFlow, or scikit-learn, and experience using version control systems like Git are commonly expected. Strong self-motivation, effective communication, and the ability to collaborate virtually make candidates stand out in remote environments. These skills and qualities are crucial for successfully contributing to projects, adapting to new technologies, and working efficiently with distributed teams.

What is the difference between Remote No Experience Machine Learning vs Remote No Experience Data Analysis?

AspectRemote No Experience Machine LearningRemote No Experience Data Analysis
Required CredentialsBasic understanding of programming, statistics, and data concepts; no formal certification neededBasic knowledge of data handling, Excel, and analytical tools; no formal certification needed
Work EnvironmentRemote, often collaborative with data science teamsRemote, often independent or team-based data review tasks
Industry UsageUsed in tech, finance, healthcare for predictive modelingUsed across industries for reporting, insights, and decision-making

While both roles are entry-level and remote, Machine Learning focuses on understanding algorithms and predictive models, whereas Data Analysis emphasizes interpreting data and generating reports. Your choice depends on whether you prefer working with algorithms and coding or analyzing data for insights.

What are popular job titles related to Remote No Experience Machine Learning jobs in Raleigh, NC? For Remote No Experience Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote No Experience Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Remote No Experience Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote No Experience Machine Learning jobs? Cities near Raleigh, NC with the most Remote No Experience Machine Learning job openings:
Remote No Experience Machine Learning jobs near you
Technical Content Expert - Advanced Engineering

Technical Content Expert - Advanced Engineering

micro1 AI

Raleigh, NC • Remote

$80 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact 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.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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