ZipRecruiter

Log In

2

Remote Advanced Ai Data Trainer Jobs in Oregon (NOW HIRING)

micro1 AI

Private Funds Attorney - Remote

Gresham, OR · Remote

$90 - $130/hr

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Investment Management Counsel - Remote

Bend, OR · Remote

$90 - $130/hr

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Private Funds Attorney - Remote

Portland, OR · Remote

$90 - $130/hr

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Private Funds Attorney - Remote

Beaverton, OR · Remote

$90 - $130/hr

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Private Funds Attorney - Remote

Eugene, OR · Remote

$90 - $130/hr

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

previous pagenext page

Showing results 21-40

All JobsAdvanced Ai Data Trainer JobsRemote Advanced Ai Data Trainer JobsRemote Advanced Ai Data Trainer Jobs in Oregon

Remote Advanced Ai Data Trainer information

What is a remote advanced AI data trainer?

A Remote Advanced AI Data Trainer is a professional who works remotely to create, label, and refine data used to train artificial intelligence (AI) models. They ensure the data is accurate and relevant, often working with complex datasets and advanced AI algorithms. Their tasks may include annotating text, images, or audio, as well as providing feedback to improve AI performance. This role requires strong attention to detail, familiarity with AI concepts, and the ability to work independently from any location.

What are the key skills and qualifications needed to thrive as a remote advanced AI data trainer?

To thrive as a Remote Advanced AI Data Trainer, you need strong analytical skills, a solid understanding of machine learning concepts, and a relevant degree or experience in data science or computer science. Familiarity with data annotation tools, AI training platforms, and programming languages like Python is often required. Excellent attention to detail, communication, and problem-solving abilities help set top performers apart in this role. These skills ensure high-quality data labeling and training, directly impacting the accuracy and effectiveness of AI systems.

What is the difference between Remote Advanced Ai Data Trainer vs Remote AI Data Annotator?

AspectRemote Advanced Ai Data TrainerRemote AI Data Annotator
CredentialsTypically requires experience in AI, machine learning, or data science; certifications in data labeling or AI tools are commonOften requires basic data labeling skills; certifications are less common
Work EnvironmentRemote, collaborative with AI teams, involves training models and refining data setsRemote, focused on labeling and annotating data sets, often solo tasks
Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for preparing training data for AI models

The Remote Advanced Ai Data Trainer and Remote AI Data Annotator roles both involve working with data for AI projects. However, the trainer typically requires more specialized knowledge, including AI concepts and model training experience, whereas the annotator focuses on labeling data. The trainer's role is more collaborative and involves refining AI models, while the annotator primarily performs data preparation tasks.

What are some common challenges faced by remote advanced AI data trainers, and how can they be addressed?

Remote Advanced AI Data Trainers often encounter challenges such as maintaining clear communication with global teams, managing complex annotation guidelines, and ensuring data quality while working independently. To address these, it’s important to establish regular check-ins, use collaborative tools for feedback, and stay updated on best practices for data labeling. Proactively asking questions and participating in team discussions can also help ensure consistency and clarity in your work.
What are popular job titles related to Remote Advanced Ai Data Trainer jobs in Oregon? For Remote Advanced Ai Data Trainer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Advanced Ai Data Trainer jobs in Oregon look for? The top searched job categories for Remote Advanced Ai Data Trainer jobs in Oregon are:
Remote Advanced Ai Data Trainer jobs near you

Corporate Transactions Attorney - Remote

micro1 AI

Beaverton, OR • Remote

$90 - $130/hr

Part-time

Re-posted 8 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