ZipRecruiter

Log In

2

No Experience Machine Learning Data Annotation Jobs in Hanover Park, IL

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

$250 - $300/hr

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 ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

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 ...

Crowe LLP

Machine Learning Intern

Oakbrook Terrace, 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 ...

Crowe LLP

Machine Learning Intern

Chicago, IL · On-site

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 ...

Crowe LLP

Machine Learning Intern

Oakbrook Terrace, IL

$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 ...

Crowe LLP

Machine Learning Intern

Chicago, IL · On-site

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 ...

Crowe LLP

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 ...

Crowe LLP

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 ...

IMC

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 ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

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 ...

previous page

Showing results 41-60

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

No Experience Machine Learning Data Annotation information

See Hanover Park, IL salary details

$37.1K

$121.4K

$194.4K

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

As of Aug 20, 2026, the average yearly pay for no experience machine learning data annotation in Hanover Park, IL is $121,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to No Experience Machine Learning Data Annotation jobs in Hanover Park, IL?

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

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

Cities near Hanover Park, 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 Hanover Park, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $121,424 per year, or $58.4 per hour.

Machine Learning Researcher

IMC Trading

Chicago, IL • On-site

$250 - $300/hr

Other

PTO

Re-posted 14 days ago

Job description

Chicago, United States; New York, United States

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism. This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities
  • Design and deploy machine learning models to enhance trading performance across various asset classes
  • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
  • Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
Your Skills and Experience
  • PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 2+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models
  • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
  • Strong understanding of theoretical foundations of state-of-the-art ML models
  • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range

$250,000 - $300,000 USD

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

IMC is an equal opportunity employer. IMC prohibits discrimination of any type and affords equal employment opportunities to applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity and expression, national origin, age, disability, military or veteran status, status as a victim of domestic violence, and/or any other categories protected by applicable federal, state or local law. Completion of this section is voluntary and will not affect your opportunity for employment or the terms or conditions of your employment. The data collected from these questions will be stored separately from your individual application and will be kept confidential.

#J-18808-Ljbffr

Apply