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No Experience Machine Learning Data Annotation Jobs in Chicago, IL

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

... data environments. Essential Duties and Responsibilities: * Design and implement novel machine ... Experience working with scientific or time-series datasets, especially in battery, materials, or ...

Varsity Tutors

Machine Learning Tutor

Wheaton, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Chicago, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Naperville, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Des Plaines, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Schaumburg, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Evanston, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Highland Park, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Skokie, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Lake Forest, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data science, or other quantitative field, with no additional experience required. * Experience in building production-grade machine learning models and infrastructure in Python. * Strong background ...

Paylocity

Staff Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

S. with no in-office requirements. You must be available five days per week during designated work ... Strong background in advanced Python and big data technologies * Experience with cloud ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

  • PTO

Design and deploy machine learning models to enhance trading performance across various asset ... data sources Your Skills and Experience: * PhD or Master's in Engineering, Math, Statistics ...

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All JobsMachine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation Jobs in Chicago, IL

No Experience Machine Learning Data Annotation information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

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

As of Aug 15, 2026, the average yearly pay for no experience machine learning data annotation in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Chicago, IL?

The most popular types of Machine Learning Data Annotation jobs in Chicago, IL are:

What are popular job titles related to No Experience Machine Learning Data Annotation jobs in Chicago, IL?

For No Experience Machine Learning Data Annotation jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching No Experience Machine Learning Data Annotation jobs in Chicago, IL look for?

The top searched job categories for No Experience Machine Learning Data Annotation jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for No Experience Machine Learning Data Annotation jobs?

Cities near Chicago, IL with the most No Experience Machine Learning Data Annotation job openings:

No Experience Machine Learning Data Annotation jobs near you
Infographic showing various No Experience Machine Learning Data Annotation job openings in Chicago, IL as of July 2026, with employment types broken down into 2% Locum Tenens, 35% Full Time, 26% Part Time, 1% Contract, 35% Nights, and 1% Summer. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution, with an average salary of $126,438 per year, or $60.8 per hour.

Machine Learning Engineer

Gotion, Inc.

Manteno, IL

Full-time

Re-posted 7 days ago

Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and Responsibilities:

  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:

  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.   

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