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Remote Ai Data Annotator Jobs in Springfield, IL

micro1 AI

Private Funds Attorney - Remote

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate M&A Associate

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate Transactions Attorney

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Lawyer (Asset Management)

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate Funds Legal Consultant

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Transaction Attorney

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Commercial Counsel

Springfield, IL · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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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 Springfield, IL? For Remote Ai Data Annotator jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Annotator jobs in Springfield, IL look for? The top searched job categories for Remote Ai Data Annotator jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Remote Ai Data Annotator jobs? Cities near Springfield, IL with the most Remote Ai Data Annotator job openings:
Remote Ai Data Annotator jobs near you

M&A Attorney - AI Trainer - Remote

micro1 AI

Springfield, IL • Remote

$90 - $130/hr

Part-time

Re-posted 2 days ago

Job description

Role Title: M&A Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the M&A department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including APAs and SPAs.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience working with private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Apply