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Telecommute Medical Data Annotation Jobs in Park Ridge, IL

Arrive Logistics

Data Scientist II

Chicago, IL · On-site

Experience designing data annotation workflows, labeling guidelines, or label quality processes is ... Take advantage of our comprehensive benefits package, including medical, dental, vision, life ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site +1

$130K - $150K/yr

Experience designing data annotation workflows, labeling guidelines, or label quality processes is ... Take advantage of our comprehensive benefits package, including medical, dental, vision, life ...

Welo Data

Data Labeling Associate

Chicago, IL

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... • Medical, Dental, and Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable ...

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Telecommute Medical Data Annotation information

What are the key skills and qualifications needed to thrive as a Telecommute Medical Data Annotation Specialist, and why are they important?

To thrive as a Telecommute Medical Data Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and experience in data labeling or healthcare-related fields. Familiarity with annotation platforms, EHR systems, and relevant compliance certifications like HIPAA are typically required. Strong organizational skills, self-motivation, and effective remote communication set individuals apart in this remote role. These competencies ensure precise, confidential, and efficient annotation of medical data, which is crucial for supporting AI development and maintaining data integrity.

What are some common challenges faced when working remotely as a medical data annotation specialist?

As a telecommute medical data annotation specialist, one common challenge is maintaining accuracy and consistency while labeling complex medical data, especially when interpreting clinical terminology or ambiguous imaging. Working remotely can also make it harder to quickly clarify doubts or seek feedback from colleagues or supervisors, so strong communication skills and proactive outreach are important. Additionally, staying updated with evolving annotation guidelines and managing distractions at home are key factors in ensuring high-quality work.

What is telecommute medical data annotation?

Telecommute medical data annotation is the process of labeling and categorizing medical data—such as images, text, or audio—from a remote location, typically from home. This work helps train artificial intelligence and machine learning models used in healthcare, such as diagnostic tools or automated medical record systems. Annotators might identify features in radiology images, tag medical terms in documents, or classify audio recordings of doctor-patient interactions. The job requires strong attention to detail and a good understanding of medical terminology. Working remotely, annotators use specialized software provided by employers to complete their tasks securely.
What are the most commonly searched types of Medical Data Annotation jobs in Park Ridge, IL? The most popular types of Medical Data Annotation jobs in Park Ridge, IL are:
What job categories do people searching Telecommute Medical Data Annotation jobs in Park Ridge, IL look for? The top searched job categories for Telecommute Medical Data Annotation jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Telecommute Medical Data Annotation jobs? Cities near Park Ridge, IL with the most Telecommute Medical Data Annotation job openings:
Telecommute Medical Data Annotation jobs near you
Infographic showing various Telecommute Medical Data Annotation job openings in Park Ridge, IL as of July 2026, with employment types broken down into 18% Full Time, 9% Part Time, 67% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution.
Data Scientist II

Data Scientist II

Arrive Logistics

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Arrive Logistics rating

4.3

Company rating: 4.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Who We Are
Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we're building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.
Who We Want
The Data Scientist II will work closely with Data Science, Product, and Engineering to build and improve ML and AI systems that drive operational value. This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based systems who is ready to take on meaningful technical ownership. You'll contribute to the full lifecycle of production ML systems - from evaluation and measurement through development, deployment, and iteration - with a particular focus on text and language-based applications. The ideal candidate is comfortable operating in ambiguous problem spaces, can translate loosely defined business needs into concrete technical approaches, and communicates findings clearly to both technical and non-technical audiences.
What You'll Do
  • Develop, evaluate, and iterate on NLP and LLM-based systems, including text classification, information extraction, and context retrieval pipelines.
  • Build measurement and evaluation frameworks - both offline and online - to assess where and why systems are underperforming and quantify the impact of improvements.
  • Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality.
  • Evaluate and apply the appropriate approach for language tasks - whether prompt engineering, fine-tuning, or classical NLP methods - including modern retrieval and RAG architectures and LLM evaluation methodologies, based on the problem and available data.
  • Perform structured analysis of system performance to surface failure modes, data gaps, and high-value areas for investment, applying sound statistical reasoning to evaluation results.
  • Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in production.
  • Contribute to standards and best practices around deploying, evaluating, and monitoring text and language-based ML systems.
  • Document work clearly and maintain knowledge artifacts that make systems understandable and maintainable over time.
  • Collaborate with senior data scientists and cross-functional partners to translate business needs into well-scoped technical solutions, including communicating findings and recommendations to non-technical stakeholders.

Qualifications
  • Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2-4 years of applied ML or data science experience, or equivalent practical experience.
  • Hands-on experience building or improving NLP or LLM-based systems in applied settings.
  • Familiarity with text classification, information extraction, or other NLP tasks - and an understanding of where these systems fail.
  • Experience with both prompt engineering and fine-tuning approaches for language tasks, with the judgment to know when to apply each.
  • Familiarity with modern retrieval strategies and RAG architectures and how they affect LLM system performance.
  • Experience with Hugging Face Transformers for text classification or related NLP tasks.
  • Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems, including comfort with statistical methods for measuring model performance.
  • Proficiency in Python and SQL, and comfort working with structured and unstructured data.
  • Ability to operate effectively in ambiguous problem spaces - scoping technical approaches when requirements are not fully defined.
  • Strong written communication skills; able to document systems and findings clearly and present recommendations to non-technical stakeholders.
  • Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus.
  • Experience with model deployment, monitoring, or production ML workflows is a plus.
  • Familiarity with LangChain and LangSmith or similar LLM orchestration and observability tooling is a plus.
  • Transportation or logistics industry experience is a plus.

The Perks of Working With Us
  • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.
  • Invest in your future with our matching 401(k) program.
  • Build relationships and take part in learning opportunities through our Employee Resource Groups.
  • Enjoy office wide engagement activities, team events, happy hours and more!
  • Leave the suit and tie at home; our dress code is casual.
  • Work in the heart of downtown Chicago, IL!
  • Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.
  • Maximize your wellness with free counseling sessions through our Employee Assistance Program
  • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
  • Receive 100% paid parental leave when you become a new parent.
  • Get paid to work with your friends through our Referral Program!
  • Get relocation assistance! If you are not local to the area, we offer relocation packages.

$130,000 - $150,000 a year
The base salary range for this position is $130K - $150K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training.
Your Arrive Experience
When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.

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