2

No Experience Machine Learning Data Annotation Jobs in Chicago, 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 ...

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

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience in building production-grade machine learning models and infrastructure in Python. * Strong background in advanced Python and big data technologies * Experience with cloud infrastructure ...

A deep understanding of the machine learning lifecycle and the common failure modes of AI models. * Hands-on experience with data annotation, data validation, and managing large datasets.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Your exceptional people experience starts here. At Crowe, we know that great people are what makes ...

New

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great ...

New

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great ...

New

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Your exceptional people experience starts here. At Crowe, we know that great people are what makes ...

New

Machine Learning Intern

Chicago, IL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great ...

New

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great ...

New

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

... on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the ... Trading experience is a bonus, not a prerequisite. Your Core Responsibilities * Architect and co ...

Chicago, IL An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and ...

Showing results 41-60

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 16, 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:

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.

2027 Data & AI Program - Summer Internship - Analyst - United States

JPMorgan Chase & Co.

Chicago, IL • On-site

Other

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


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


In the Data & AI Program at JPMorganChase, you'll drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in agile teams, you will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and ensure strong data governance, privacy, and compliance.
Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM), you will integrate diverse datasets, run experiments tied to key performance indicators, and deliver actionable insights. This program provides hands-on experience, mentorship, and training in a collaborative, innovation-focused environment-positioning you to contribute to high-impact initiatives across the firm while building a strong foundation in Data & AI.
ABOUT THE PROGRAM
As a Summer Analyst in the Data & AI Program at JPMorganChase, you will help drive transformation by combining your technical skills, business context, and modern tools to deliver real-world impact for our clients and customers.
You will collaborate with global experts to develop end-to-end data and AI solutions and contribute to positive change for the diverse communities we serve. You will receive mentorship, training, and support as you build your career in a culture where we value your ideas and help you grow.
We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.
Job Responsibilities
  • Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions.
  • Work hands-on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision-making.
  • Apply data, statistics, and modeling to solve complex problems and generate actionable insights.
  • Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions.
  • Support data governance, risk management, and data standards to help ensure data is secure, trusted, and ready for artificial intelligence use.
  • Implement controls, improve data quality, and enable frameworks and structures that make solutions safe, scalable, and effective
  • Collaborate in agile teams and contribute ideas from day one in a culture that supports your growth and impact.
  • Learn through mentorship and training while building a strong foundation in data, analytics, and artificial intelligence.

REQUIRED QUALIFICATIONS, CAPABILITIES AND SKILLS
  • Pursuing a Bachelor's or Master's degree in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, or Mathematics).
  • Graduating between December 2027 and August 2028.
  • Authorized to work permanently in the United States.
  • Meeting the role requirement that no prior work experience is needed.
  • No prior work experience is required.

PREFERRED QUALIFICATIONS, CAPABILITIES, AND SKILLS
  • Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets.
  • Use programming languages such as SQL and Python.
  • Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).
  • Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
  • Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
  • Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
  • Translate business objectives into testable hypotheses and analytical plans, develops models and experiments, and communicates actionable recommendations to stakeholders.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
Locations you may join:
  • New York Metro
  • Columbus, OH
  • Chicago, IL
  • Delaware Metro
  • Plano, TX
  • Palo Alto, CA

ABOUT US
At JPMorganChase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real-world impact across global markets.
Our teams work at the intersection of technology and business-developing end-to-end data platforms, applying machine learning, and generating insights that shape everything from client experiences to risk management and operations. From building scalable data infrastructure to deploying AI models and visualization tools, we transform complex data into actionable intelligence.
Data & AI at JPMC is not experimental-it is embedded across the firm. Our capabilities support critical functions including trading, fraud prevention, wealth management, and cybersecurity, delivering measurable value at enterprise scale.
We operate on modern, secure platforms that enable AI and analytics at scale, providing governed environments where teams can build, analyze, and deploy solutions responsibly. This allows us to combine technical excellence with strong governance, privacy, and risk management standards.
Collaboration is at the heart of how we work. Our Data & AI professionals partner across lines of business and disciplines-bringing together engineers, data scientists, and domain experts to solve complex problems and deliver meaningful outcomes for clients and communities worldwide.
As part of the Data & AI function at JPMorganChase, you'll contribute to shaping the future of financial services-working on high-impact solutions in an environment that values innovation, continuous learning, and real-world application of cutting-edge technologies.
About You
If you're ready to put your passion for data and artificial intelligence to work in a way that makes a real difference, you'll find your place in our Data & AI Program.
To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, JPMorgan Chase, will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT.)
What's Next?
Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it's important to complete all relevant application questions so we have as much information about you as possible.
After you confirm your application, we will review it to determine whether you meet certain required qualifications.
JPMorganChase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We will provide reasonable accommodations for applicants with disabilities.
Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.
2026 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom