General Counsel

RemoteJobsOne; Manila; Remote; PHP 7,788,000 - 11,249,000; Part time

Job summary

RemoteJobsOne seeks a seasoned General Counsel for a remote, part-time role focused on tech transactions and AI-driven contract review. The candidate will draft, review, negotiate MSAs/NDAs/DPAs and contribute to evaluation frameworks for AI systems.

Ideal candidates have deep experience drafting and redlining in the technology sector, with excellent communication and collaborative skills across product and research teams.

Qualifications

• Minimum 3 years in-house experience focused on technology transactions, especially negotiating MSAs, NDAs and DPAs.
• Exceptional written and verbal communication with meticulous attention to detail.
• Strong analytical capabilities to translate legal expertise into feedback for AI systems.
• Experience collaborating with product/research teams in fast-paced environments.

Responsibilities

• Perform simulated contract negotiations and redlining exercises.
• Review AI responses to contract scenarios and provide expert feedback.
• Create evaluation frameworks and grading criteria for AI contract tasks with rigor.
• Collaborate with product and research teams to refine data, guidelines and best practices for AI-driven contract review.

Skills

In-house experience

Tech transactions

MSA/NDAs/DPAs

Analytical thinking

Communication

Cross-disciplinary teamwork

Job description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in Philippines.

Pay

$90–$130/hr

Role Title

General Counsel

Role Type

Contractor

Location

Remote

Job Summary

We are seeking seasoned in-house General Counsels 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. Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
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.

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.