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Entry Level Remote Ai Training Jobs in Wisconsin

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Remote Benefits & Client Support Representative (Entry-Level) Location: Remote (U.S.) Schedule ... No previous experience is necessary--we offer comprehensive training, mentorship, and opportunities ...

Programmer - AI Trainer

Milwaukee, WI · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Coder (this is an opportunity to work ...

Showing results 41-60

Entry Level Remote Ai Training information

What is an entry level remote AI training?

An entry level remote AI training job involves helping to teach artificial intelligence systems by labeling data, reviewing outputs, and providing feedback. These roles typically require minimal prior experience and can be performed from home, making them accessible to a wide range of candidates. Tasks may include categorizing images, annotating text, or validating responses generated by AI models. The work helps improve the accuracy and reliability of AI technologies used in various industries.

What are the key skills and qualifications needed to thrive as an entry level remote AI training specialist?

To excel as an Entry Level Remote AI Training Specialist, you generally need strong analytical thinking, attention to detail, and basic familiarity with computers, often supported by a high school diploma or equivalent. Comfort with online collaboration tools, data annotation platforms, and sometimes familiarity with spreadsheet or task management systems is important. Excellent written communication, time management, and the ability to follow detailed instructions are standout soft skills in this role. These skills are crucial for ensuring accurate data labeling, meeting project deadlines, and supporting the effective development of AI technologies.

What are some common challenges faced by entry level remote AI training professionals and how can they be addressed?

Entry-level remote AI training professionals often encounter challenges such as understanding complex annotation guidelines, maintaining accuracy over repetitive tasks, and communicating effectively with remote teams. To overcome these, it's helpful to regularly review project documentation, participate in team check-ins for clarification, and use productivity tools to stay organized. Building a habit of double-checking work and seeking feedback from supervisors can also ensure high-quality results and facilitate professional growth.

What is the difference between Entry Level Remote Ai Training vs Data Annotator?

AspectEntry Level Remote Ai TrainingData Annotator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Employer & Industry UsageTech companies, AI startupsTech companies, AI industry
Common Search & Comparison IntentUnderstanding entry-level AI rolesClarifying data annotation jobs

Entry Level Remote Ai Training involves preparing AI models through tasks like data labeling and model testing, often requiring some technical understanding. Data Annotator focuses specifically on labeling data to train AI systems. While both roles are remote and entry-level, Ai Training may include broader tasks like model evaluation, whereas Data Annotator emphasizes data labeling. Both are essential in AI development and share similar skills, but Ai Training roles often involve more technical tasks and training processes.

What are the most commonly searched types of Remote Ai Training jobs in Wisconsin?

The most popular types of Remote Ai Training jobs in Wisconsin are:

What are popular job titles related to Entry Level Remote Ai Training jobs in Wisconsin?

For Entry Level Remote Ai Training jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Ai Training jobs in Wisconsin look for?

The top searched job categories for Entry Level Remote Ai Training jobs in Wisconsin are:

What cities in Wisconsin are hiring for Entry Level Remote Ai Training jobs?

Cities in Wisconsin with the most Entry Level Remote Ai Training job openings:

M&A Attorney - AI Trainer - Remote

micro1 AI

Green Bay, WI • Remote

$90 - $130/hr

Part-time

Re-posted 7 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.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.