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Remote Ai Data Annotator Jobs in Normal, IL (NOW HIRING)

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Remote Ai Data Annotator information

What is the difference between Remote Ai Data Annotator vs Remote Machine Learning Data Labeler?

AspectRemote Ai Data AnnotatorRemote Machine Learning Data Labeler
Required CredentialsBasic computer skills, training in annotation toolsSimilar, often no formal degree required
Work EnvironmentRemote, flexible hours, task-basedRemote, task-based, often part-time
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, computer vision, NLP
Search & Comparison IntentHigh overlap, often compared for entry-level rolesSimilar roles, slightly more specialized in data types

The Remote Ai Data Annotator and Remote Machine Learning Data Labeler roles are quite similar, often requiring basic technical skills and working remotely in AI-related industries. The main difference lies in terminology and specific data types labeled, but both roles serve as entry points into AI data preparation, with overlapping skills and work environments.

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

To thrive as a Remote AI Data Annotator, you need keen attention to detail, strong analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Experience with annotation platforms, data management tools, and sometimes knowledge of scripting languages like Python is valuable. Strong communication, time management, and self-motivation are essential soft skills for meeting deadlines and working independently. These skills ensure high-quality, consistent data annotation, which is crucial for developing accurate AI and machine learning models.

What are some common challenges faced by remote AI data annotators, and how can they be addressed?

Remote AI data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent labeling accuracy, and managing effective communication with team members across different time zones. To address these, it's helpful to establish a structured work schedule, use productivity tools to minimize distractions, and actively participate in team meetings or chats to clarify annotation guidelines. Regular feedback sessions and quality checks also play a key role in maintaining high annotation standards and fostering professional growth within the team.

What are Remote AI Data Annotators?

Remote AI Data Annotators are professionals who label, categorize, or tag data such as images, text, audio, or video to train and improve artificial intelligence (AI) models. They work remotely, often from home, using specialized software to ensure data is accurate and useful for machine learning algorithms. Their work is essential for helping AI systems learn to recognize patterns, make predictions, and perform tasks like image recognition or natural language processing. Annotators must be detail-oriented and follow specific guidelines to ensure the quality and consistency of labeled data.
What are popular job titles related to Remote Ai Data Annotator jobs in Normal, IL? For Remote Ai Data Annotator jobs in Normal, IL, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Annotator jobs in Normal, IL look for? The top searched job categories for Remote Ai Data Annotator jobs in Normal, IL are:
What cities near Normal, IL are hiring for Remote Ai Data Annotator jobs? Cities near Normal, IL with the most Remote Ai Data Annotator job openings:
Remote Ai Data Annotator jobs near you
Infographic showing various Remote Ai Data Annotator job openings in Normal, IL as of July 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution.

Forward Deployed Engineer (Remote)

Maybern Solutions, Inc

Atlanta, IL • On-site, Remote

$180K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Who We Are
Maybern is transforming the way private fund managers effectively manage their funds through cutting edge technology: an operating system with deterministic guard rails underneath, agents on top. Maybern is founded by top engineering experts with deep knowledge of the fund management space.
Private funds manage $15T in capital and are growing at 20% YoY, but with increasing regulatory scrutiny and investor demands for transparency, the need for more modern, fully agentic solutions to help private fund CFOs is crucial.
This is where Maybern comes in.
We are equipping fund managers with a fully agentic operating system for private fund management, enabling private investment managers to focus on what they do best: driving returns for their investors. We are backed by leading venture capital firms and a large number of strategic investors.
Maybern is an NYC based company with a strong in-office culture to drive collaboration, and we are looking to make strong additions to our team.
What We're Looking For
Maybern is building the operating system for agentic fund management, and Forward Deployed Engineering is where that meets the real world. Our FDE team partners directly with some of the largest private funds on the planet to build high-value systems that extend the Maybern platform: production AI, decision support, forecasting, optimization, scenario analysis, formalized workflow logic, and high-assurance automation. This is not a lab. Engagements are signed and running today, and the systems you build will go into production at firms managing tens of billions of dollars.
We are looking for engineers who can own real customer problems and grow fast doing it. You should be comfortable operating where customer ambiguity, quantitative modeling, AI reliability, workflow design, and product abstraction all meet. The career ladder is defined (FDE to Senior FDE to Principal), promotion follows performance rather than tenure, and compensation is built for outperformance: competitive base, equity, and a tiered performance bonus where top performers can earn up to 35%.
What You'll Do
  • Own forward-deployed engagements from discovery through production adoption, with your scope growing as fast as your independence earns it
  • Architect and build custom systems across AI, forecasting, optimization, simulation, and decision-support workflows
  • Design application patterns that connect Maybern's platform to customer-specific logic, data, and operating processes
  • Build the evaluation, control, and validation frameworks that make AI trustworthy when a client's business depends on the output
  • Work directly with senior stakeholders at sophisticated private markets firms as a trusted technical advisor
  • Turn messy, real-world data into production systems: extraction, agentic workflows, automation, and the QA and nuance that separate working systems from demos
  • Identify when bespoke work should become reusable product capability or shared platform infrastructure
  • Help define standards, technical direction, and operating practices for a function you're joining at the ground floor

Who You Are
  • Architect. You design application patterns that connect platform, customer logic, and data, picking the right level of rigor for the stakes.
  • Customer Partner. You serve as a trusted advisor to senior customer stakeholders and translate rigor without losing precision.
  • Production-AI Builder. You think past the happy path. You care how a system behaves when the data is messy, how errors get caught, and how AI holds up when someone else's business runs on it.
  • Driven by Outcomes. You are competitive, high-ownership, and motivated by impact and upside. You think in terms of the ROI of your work, not just the deliverable.
  • High-Standards Builder. You hold a high bar for clarity and reliability in domains where approximation isn't enough.

This Could Be a Great Fit If You Have...
  • 3+ years of experience in software engineering, machine learning, quantitative systems, applied research, or forward-deployed technical work with significant ownership
  • A record of leading ambiguous, customer-facing technical initiatives, or clear evidence you're ready to
  • Deep strength in Python, SQL, system design, and analytical application architecture
  • Applied AI experience with real attention to evaluation, reliability, and production deployment, meaning AI systems other people depend on, not one-off prototypes
  • Deep quantitative reasoning across modeling, inference, optimization, simulation, statistics, or decision systems
  • Excellent communication and stakeholder management
  • Strong taste in balancing speed, rigor, and trust in high-stakes environments

Bonus Points if You Have...
  • Familiarity with the Snowflake AI Data Platform as a strong starting point for architecting data, analytics, and AI workflows, though this is not required
  • Experience designing custom applications in finance, capital markets, enterprise decision systems, or similarly complex domains
  • Experience with optimization, probabilistic systems, simulation engines, or mathematical modeling platforms
  • Experience with formal verification, theorem proving, formal methods, or machine-checkable logic
  • Experience turning bespoke customer systems into reusable product or platform primitives
  • Experience mentoring engineers and raising the bar on technical execution
  • Private markets experience
Benefits
  • We offer a competitive salary + equity package, comprehensive benefits, and a flexible family-friendly work environment. Some of our perks include:
    • Comprehensive healthcare benefits
      • Maybern covers 100% of medical, dental, and vision premiums
      • HSA & FSA plans
    • Family-Friendly policies
      • Paid parental leave
    • Flexible schedule
      • Flexible PTO / sick leave
      • WFH as needed to fit your needs
    • 401k

Apply