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Remote No Experience Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

Join us to gain hands‐on experience in the exciting field of machine learning while working in a dynamic and collaborative remote environment. Responsibilities Assist in collecting, cleaning, and ...

About the Role We are looking for an experienced Machine Learning Engineer with a strong background ... The employer is not offering relocation sponsorship, and remote work options are not available.

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Prior experience with data annotation, data quality, or evaluation systems. * Master's Degree or ...

Machine Learning Engineer

$128.80K - $214.50K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... Experience creating, maintaining, and communicating complex technical documentation for machine ...

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is seeking a talented Machine Learning Engineer to join our growing AI and data science ...

Remote Duration: 6+ months Details: * Extensive experience leading machine learning projects end-to-end, from design and development to deployment and monitoring. * Collaborates closely with ...

Remote About The Job At Alignerr, we partner with the world's leading AI research teams and labs to ... Master's Degree or PhD Preferred Prior experience with data annotation, data quality, or evaluation ...

Aalyria's Spacetime team is seeking an experienced machine learning engineer for a hybrid role ... Remote working within the UK. Equal Opportunity Employer Statement: Aalyria is an Equal Opportunity ...

New

Senior Machine Learning Engineer

Denver, CO · Remote

$126.10K - $166.20K/yr

Senior Machine Learning Engineer (AI Data Trainer) About the Role What if your deep expertise in ... async, remote environment Nice to Have * Prior experience in data annotation, data quality ...

Machine Learning Engineer What if your technical expertise could directly influence how the world ... This is a fully remote, flexible contract role built for experienced technical professionals who ...

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Remote No Experience Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of May 28, 2026, the average yearly pay for remote no experience machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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 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 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.

More about Remote No Experience Machine Learning jobs
What cities are hiring for Remote No Experience Machine Learning jobs? Cities with the most Remote No Experience Machine Learning job openings:
What are the most commonly searched types of Remote Machine Learning jobs? The most popular types of Remote Machine Learning jobs are:
What states have the most Remote No Experience Machine Learning jobs? States with the most job openings for Remote No Experience Machine Learning jobs include:
Infographic showing various Remote No Experience Machine Learning job openings in the United States as of May 2026, with employment types broken down into 13% As Needed, 49% Full Time, 25% Part Time, and 13% Temporary. Highlights an 36% Physical, 2% Hybrid, and 62% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Alignerr

Seattle, WA • Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer (AI Data Trainer)
About the Role
What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex problems? We're looking for Machine Learning Engineers to help train cutting-edge AI by demonstrating exactly how a skilled technical mind approaches and executes sophisticated challenges - step by step.
This is a fully remote, flexible contract role built for experienced ML and engineering professionals. You won't be building models from scratch - you'll be teaching them how to think by producing the high-quality reasoning data they learn from.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Construct precise, well-structured logical workflows that demonstrate expert-level problem-solving for complex technical challenges
  • Document sequential reasoning processes - how a problem is broken down, what tools are selected, and why decisions are made at each step
  • Generate high-quality training datasets that model proficient tool use, strategic thinking, and sound technical judgment
  • Audit and refine AI-generated reasoning traces, identifying gaps, errors, or flawed logic
  • Translate intricate technical processes into clear, structured formats that AI systems can learn from effectively
Who You Are
  • Experienced in machine learning, software engineering, or a closely related technical discipline
  • Able to articulate complex reasoning and multi-step problem-solving processes clearly and precisely
  • A sharp critical thinker who can evaluate whether a chain of logic is sound - and improve it when it isn't
  • Detail-oriented and consistent, with a methodical approach to structured work
  • Comfortable working independently and asynchronously in a remote environment
Nice to Have
  • Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field
  • Prior experience with data annotation, data quality assurance, or AI evaluation workflows
  • Familiarity with large language models (LLMs) and how they are trained or fine-tuned
  • Background in technical writing, documentation, or instructional design
Why Join Us
  • Work alongside leading AI research labs on genuinely frontier AI projects
  • Fully remote and flexible - structure your hours around your life, not the other way around
  • Freelance autonomy with access to meaningful, intellectually stimulating work
  • Build deep, practical insight into how the world's most advanced AI models are trained
  • Potential for ongoing work and contract extension as new projects launch