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No Experience Data Analyst Machine Learning Jobs in Middleton, ID

TSMG

AI/ML Data Contributor

Boise, ID · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Boise, ID · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Micron

Intern - Wafer Bonding Process Development

Boise, ID

$14.25 - $19/hr

Experience analyzing semiconductor process data using statistical methods and data visualization techniques. * Knowledge of machine learning algorithms and their application to engineering or process ...

Recor Group

Client Insights Analyst

Eagle, ID

... experience for our clients. The Analyst focuses on building and maintaining strong client ... learning mindset. Educational Qualifications: * Bachelor's degree in business, marketing, data ...

Recor Group

Client Insights Analyst

Eagle, ID · On-site

... experience for our clients. The Analyst focuses on building and maintaining strong client ... learning mindset. Educational Qualifications: * Bachelor's degree in business, marketing, data ...

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$32.1K

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$128.5K

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

As of Aug 19, 2026, the average yearly pay for no experience data analyst machine learning in Middleton, ID is $78,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,600.00 per year, depending on experience, location, and employer.

What is a no experience data analyst machine learning?

A No Experience Data Analyst in Machine Learning is an entry-level professional who is starting out in data analysis with a focus on machine learning concepts, but does not yet have prior work experience in the field. These analysts typically use data tools and basic machine learning techniques to clean, organize, and interpret datasets under supervision. They often learn on the job, gaining skills in data visualization, statistical analysis, and foundational machine learning algorithms. Many begin with online courses, bootcamps, or internships to build their expertise and portfolios. This role is ideal for those transitioning into tech or analytics from different backgrounds.

What are the key skills and qualifications needed to thrive as a no experience data analyst machine learning?

To thrive as a No Experience Data Analyst in Machine Learning, you need foundational knowledge in statistics, data interpretation, and basic programming skills, often gained through relevant coursework or online certificates. Familiarity with tools like Python, SQL, Excel, and machine learning libraries such as scikit-learn or TensorFlow is typically expected. Strong problem-solving, attention to detail, and a willingness to learn new concepts help set candidates apart in this entry-level role. These skills are vital for accurately analyzing data, building predictive models, and supporting data-driven decision-making in a rapidly evolving field.

What are some common challenges faced by entry-level data analysts working with machine learning, and how can they overcome them?

Entry-level data analysts working with machine learning often encounter challenges such as understanding complex algorithms, cleaning and preparing raw data, and interpreting model outputs. To overcome these obstacles, it's helpful to leverage online tutorials, seek mentorship from senior team members, and actively participate in team meetings to clarify doubts. Collaborating with data scientists and software engineers can also accelerate learning and help bridge gaps in technical knowledge. Emphasizing continuous learning and practicing on real datasets can further build confidence and competence in the field.
No Experience Data Analyst Machine Learning jobs near you

AI/ML Data Contributor

TSMG

Boise, ID • On-site

Full-time

Re-posted 23 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.