ZipRecruiter

Log In

3

Part Time Remote Work Paid Training Jobs in Springfield, MO

micro1 AI

Commercial Counsel

Springfield, MO · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Your work will directly improve how these systems identify risk and interpret contract language to ...

micro1 AI

Transaction Attorney

Springfield, MO · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Your work will directly improve how these systems identify risk and interpret contract language to ...

micro1 AI

Hematologist / Oncologist

Springfield, MO · Remote

$160 - $200/hr

Remote micro1 is engaging Clinician (Oncology / Hematology)s to contribute to a customer's project ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

New

micro1 AI

Clinician (Oncology / Hematology)

Springfield, MO · Remote

$160 - $200/hr

Remote micro1 is engaging Clinician (Oncology / Hematology)s to contribute to a customer's project ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

New

previous page

Showing results 41-50

All JobsWork Paid Training JobsPart Time Remote Work Paid Training JobsPart Time Remote Work Paid Training Jobs in Springfield, MO

Part Time Remote Work Paid Training information

See Springfield, MO salary details

$13

$38

$70

How much do part time remote work paid training jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for part time remote work paid training in Springfield, MO is $38.40, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $48.99 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Work Paid Training vs Customer Service Representative?

AspectPart Time Remote Work Paid TrainingCustomer Service Representative
CredentialsMinimal; training providedHigh school diploma or equivalent often required
Work EnvironmentRemote, flexible hoursRemote or in-office, depending on employer
Employer UsageTraining phase for new hiresCustomer support and client interaction
Search IntentLearning and onboarding opportunitiesCustomer support roles with paid training

Part Time Remote Work Paid Training typically refers to a temporary or initial phase where new employees learn job skills remotely with paid training. Customer Service Representative roles often involve ongoing customer interaction, with paid training provided to develop product knowledge and communication skills. While both roles may be remote and involve training, the former emphasizes onboarding, whereas the latter is a regular support position.

What are popular job titles related to Part Time Remote Work Paid Training jobs in Springfield, MO? For Part Time Remote Work Paid Training jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Work Paid Training jobs in Springfield, MO look for? The top searched job categories for Part Time Remote Work Paid Training jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Part Time Remote Work Paid Training jobs? Cities near Springfield, MO with the most Part Time Remote Work Paid Training job openings:
Part Time Remote Work Paid Training jobs near you
Infographic showing various Part Time Remote Work Paid Training job openings in Springfield, MO as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $79,865 per year, or $38.4 per hour.

Commercial Counsel

micro1 AI

Springfield, MO • Remote

$90 - $130/hr

Part-time

Posted 23 days ago

Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional 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 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  4. Exceptional written and verbal communication skills with meticulous attention to detail.
  5. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  6. Demonstrated commitment to innovation at the intersection of law and technology.
  7. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for 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