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Remote Advanced Ai Data Trainer Jobs in Illinois

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

Data Scientist (Masters) - AI Data Trainer About the Role What if your expertise in machine ... Remote * Commitment : 10-40 hours/week What You'll Do * Design Advanced Challenges - Develop ...

Alignerr

Physics Masters

Chicago, IL · Remote

Physics Masters - AI Data Trainer About the Role We're looking for Physics Masters graduates and ... the most advanced AI research happening today. This is a fully remote, flexible contract role ...

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Biology Masters

Chicago, IL · Remote

$35 - $55/hr

Biology Masters - AI Data Trainer Type : Hourly Contract Compensation : $35-$55 /hour Location : Remote Commitment : 10-40 hours/week What You'll Do: * Design advanced biology questions to test AI ...

Alignerr

Computer Engineering

Chicago, IL · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer Type : Hourly Contract Compensation : $35-$60 /hour Location : Remote Commitment : 10-40 hours/week What You'll Do: * Develop Complex Problems: Design advanced ...

Alignerr

Computer Engineering

Chicago, IL · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer Type : Hourly Contract Compensation : $35-$60 /hour Location : Remote Commitment : 10-40 hours/week What You'll Do: * Develop Complex Problems: Design advanced ...

Alignerr

Health Policy & Management

Chicago, IL · Remote

$111.30K - $120K/yr

Health Policy & Management - AI Data Trainer About the Role AI is rapidly becoming one of the most ... This is a fully remote, flexible contractor role that lets you do meaningful work on your own ...

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Chemistry Masters

Chicago, IL · Remote

$25 - $33/hr

Chemistry Masters - AI Data Trainer About the Role We're looking for chemistry experts to help ... Location : Remote * Commitment : 10-40 hours/week What You'll Do * Design advanced chemistry ...

Alignerr

Applied Physics

Chicago, IL · Remote

Applied Physics - AI Data Trainer About the Role What if your deep expertise in physics could ... Remote * Commitment : 10-40 hours/week What You'll Do * Design advanced physics problems - Craft ...

Tempus

AI Data Science Summer Associate

Chicago, IL · On-site +1

$35/hr

Tempus is seeking an AI Data Science Summer Associate focused on applying advanced data science, AI, and machine learning techniques to solve complex business and research problems. You will join a ...

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Remote Advanced Ai Data Trainer information

What are the key skills and qualifications needed to thrive as a Remote Advanced AI Data Trainer, and why are they important?

To thrive as a Remote Advanced AI Data Trainer, you need strong analytical skills, a solid understanding of machine learning concepts, and a relevant degree or experience in data science or computer science. Familiarity with data annotation tools, AI training platforms, and programming languages like Python is often required. Excellent attention to detail, communication, and problem-solving abilities help set top performers apart in this role. These skills ensure high-quality data labeling and training, directly impacting the accuracy and effectiveness of AI systems.

What are some common challenges faced by Remote Advanced AI Data Trainers, and how can they be addressed?

Remote Advanced AI Data Trainers often encounter challenges such as maintaining clear communication with global teams, managing complex annotation guidelines, and ensuring data quality while working independently. To address these, it’s important to establish regular check-ins, use collaborative tools for feedback, and stay updated on best practices for data labeling. Proactively asking questions and participating in team discussions can also help ensure consistency and clarity in your work.

What is a Remote Advanced AI Data Trainer?

A Remote Advanced AI Data Trainer is a professional who works remotely to create, label, and refine data used to train artificial intelligence (AI) models. They ensure the data is accurate and relevant, often working with complex datasets and advanced AI algorithms. Their tasks may include annotating text, images, or audio, as well as providing feedback to improve AI performance. This role requires strong attention to detail, familiarity with AI concepts, and the ability to work independently from any location.

What is the difference between Remote Advanced Ai Data Trainer vs Remote AI Data Annotator?

AspectRemote Advanced Ai Data TrainerRemote AI Data Annotator
CredentialsTypically requires experience in AI, machine learning, or data science; certifications in data labeling or AI tools are commonOften requires basic data labeling skills; certifications are less common
Work EnvironmentRemote, collaborative with AI teams, involves training models and refining data setsRemote, focused on labeling and annotating data sets, often solo tasks
Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for preparing training data for AI models

The Remote Advanced Ai Data Trainer and Remote AI Data Annotator roles both involve working with data for AI projects. However, the trainer typically requires more specialized knowledge, including AI concepts and model training experience, whereas the annotator focuses on labeling data. The trainer's role is more collaborative and involves refining AI models, while the annotator primarily performs data preparation tasks.

What are the most commonly searched types of Advanced Ai Data Trainer jobs in Illinois? The most popular types of Advanced Ai Data Trainer jobs in Illinois are:
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What cities in Illinois are hiring for Remote Advanced Ai Data Trainer jobs? Cities in Illinois with the most Remote Advanced Ai Data Trainer job openings:
Remote Advanced Ai Data Trainer jobs near you

Data Scientist (Masters)

Alignerr

Chicago, IL • Remote

Other

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

Job description

Data Scientist (Masters) - AI Data Trainer
About the Role
What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason through complex problems? We're looking for data scientists with graduate-level training to challenge, audit, and refine cutting-edge AI models - exposing their blind spots and building them into more reliable, rigorous tools.
This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Develop complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Write rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the gold standard for evaluating AI outputs
  • Audit AI-Generated Code
    - Evaluate AI-produced code using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness
  • Sharpen AI Reasoning
    - Identify logical failures in AI outputs - data leakage, overfitting, improper handling of imbalanced datasets - and deliver structured feedback that improves how models think
  • Document Failure Modes
    - Systematically record where and how AI reasoning breaks down to help research teams harden model performance
Who You Are
  • Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
  • Solid foundational knowledge across core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
  • Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing
  • Naturally precise - you catch errors in code syntax, mathematical notation, and statistical logic that others overlook
  • Self-directed and reliable when working independently on task-based assignments
  • No prior AI or data annotation experience required
Nice to Have
  • Prior experience with data annotation, data quality assurance, or AI evaluation systems
  • Familiarity with production-level data science workflows - MLOps, CI/CD for models, or similar
  • Hands-on experience across multiple modelling domains or industry verticals
  • Background in academic research or technical writing
Why Join Us
  • Work directly with industry-leading AI research labs on frontier model development
  • Fully remote and asynchronous - work when and where it suits you
  • Freelance autonomy with meaningful, intellectually engaging work
  • High-impact contributions: your expertise directly shapes how advanced AI systems reason about data science
  • Potential for ongoing contracts and project renewals as new AI initiatives launch

Apply