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Freelance Machine Learning Data Annotation Jobs in Downers Grove, IL

United Airlines

Principal Architect - Machine Learning

Chicago, IL · On-site

$147.06 - $191.52/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will ...

IMC

Machine Learning Research Lead

Chicago, IL

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured ...

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 ... Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ...

Bespoke Labs

Machine Learning Engineer

Aurora, IL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Joliet, IL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Chicago, IL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Referrals Only

Lead Machine Learning Engineer

Chicago, IL

$105K - $139K/yr

You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. * You have experience with ...

Coinflow

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

  • Medical

  • Retirement

That means digging into large-scale transaction and behavioral data, shipping production fraud ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

IMC

Machine Learning Research Lead

Chicago, IL · On-site

$250K - $300K/yr

  • PTO

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured ...

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All JobsMachine Learning Data Annotation JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Downers Grove, IL

Freelance Machine Learning Data Annotation information

See Downers Grove, IL salary details

$12

$21

$35

How much do freelance machine learning data annotation jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for freelance machine learning data annotation in Downers Grove, IL is $21.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.95 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

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

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

What job categories do people searching Freelance Machine Learning Data Annotation jobs in Downers Grove, IL look for?

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Downers Grove, IL are:

What cities near Downers Grove, IL are hiring for Freelance Machine Learning Data Annotation jobs?

Cities near Downers Grove, IL with the most Freelance Machine Learning Data Annotation job openings:

Freelance Machine Learning Data Annotation jobs near you

Principal Architect - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Re-posted 12 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with ML engineers, data scientists and data engineers. This role will design, architect, implement and lead key components of the Machine Learning Platform, Gen AI/ML business use cases, and establish processes and best practices.
  • Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United
  • Set up containers and Serverless platform with cloud infrastructure
  • You will design and develop tools and apps to enable ML automation using AWS ecosystem
  • Build data pipelines to enable ML models for batch and real-time data
  • Hands on development expertise of Spark and Flink for both real time and batch applications
  • Support large scale model training and serving pipelines in distributed and scalable environment
  • Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
  • Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
  • Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
  • Develop, optimize, fine-tune Generative AI/LLM models to improve performance and accuracy and deploy them

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in
    Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
  • 5+ years of software engineering experience with languages such as Python, Go, Java, or C/C++
  • 5+ years of experience in machine learning, deep learning, and natural language processing
  • Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++
  • Strong technical leadership and familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines
  • Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc
  • Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
  • Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X
  • Experience with generative models such as GANs, VAEs, and autoregressive models
  • Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs
  • LLM evaluation: Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
  • LLM debugging: Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
  • LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure
  • Experience with LLMOps (Large Language Model Operations) or AgenticOps (Agentic Operations) to manage the end-to-end lifecycle of large language models
  • Experience with generative ai methods such as retrieval augmented generation (RAG) and instruction fine tuning
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's/PhD degree in
    Computer Science or related STEM field
  • 5 + years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
  • 5 + years of experience with Big Data technologies such as Spark, Flink and SQL programming
  • 5 + years of experience with cloud-native DevOps, CI/CD
  • 3 - 5 + years of relevant enterprise Architecture experience
  • 1+ years of experience with Generative AI/LLMs

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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