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Remote Baby Sign Language Jobs in Michigan (NOW HIRING)

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Remote Baby Sign Language information

What is the difference between Remote Baby Sign Language vs Remote Child Language Specialist?

AspectRemote Baby Sign LanguageRemote Child Language Specialist
CredentialsBasic knowledge of baby sign language, certification optionalAdvanced language certifications, specialized training
Work EnvironmentOnline sessions with parents and infantsOnline or in-person sessions with children and families
Industry UsageEarly childhood development, parenting supportSpeech therapy, language development programs
Search & ComparisonFocuses on teaching sign language to babiesFocuses on broader language development for children

Remote Baby Sign Language professionals primarily teach sign language to infants and parents, often with minimal certifications, in a parent-focused environment. In contrast, Remote Child Language Specialists typically hold advanced language certifications and work with children on broader language skills. Both roles are conducted online and serve the early childhood industry, but they differ in scope and required credentials.

What are the most commonly searched types of Baby Sign Language jobs in Michigan?

The most popular types of Baby Sign Language jobs in Michigan are:

What cities in Michigan are hiring for Remote Baby Sign Language jobs?

Cities in Michigan with the most Remote Baby Sign Language job openings:

General Counsel - Remote

Lansing, MI โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$90 - $130/hr

Part-time

Re-posted 28 days ago


Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals 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. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. 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.


Compensation Structure:


Compensation is task-based, meaning experts are paid per completed task that meets the project specifications. The average handling time (AHT) is approximately 3.5 hours per task, and the effective hourly rate will depend on the number of tasks completed and successfully signed off.