22 hours ago

Computer Science Specialist - AI Trainer

Meridial Marketplace, by Invisible

Hybrid
Contractor
$114,400
Hybrid

Job Overview

Job TitleComputer Science Specialist - AI Trainer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$114,400
LocationHybrid

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Job Description

About the Role: Computer Science Specialist - AI Trainer at Meridial Marketplace

Are you a computer science expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high-quality training data, tomorrow's AI can democratize world-class education, keep pace with cutting-edge research, and streamline software development for engineers everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

Meridial Marketplace is seeking Computer Science Specialists to train advanced language models. You will be instrumental in evolving AI, ensuring it can perform complex tasks, understand nuanced queries, and ultimately contribute to scientific discovery, education, and software development.

What You'll Do

  • Challenge advanced language models on topics like algorithm optimization, model training and evaluation, network protocols, distributed systems, object-oriented design, and performance tuning.
  • Document every failure mode to harden model reasoning.
  • Converse with the model on coding scenarios and theoretical computer science questions.
  • Verify factual accuracy and logical soundness of model responses.
  • Capture reproducible error traces.
  • Suggest improvements to our prompt engineering and evaluation metrics.

What We're Looking For

  • Expertise in algorithms, data structures, machine learning, artificial intelligence, software engineering, computer networks, cybersecurity, cloud computing, database management, and systems architecture.
  • A master's or PhD in computer science or a closely related field is ideal.
  • Peer-reviewed publications, software development experience, or hands-on machine learning projects signal strong fit.
  • Clear, metacognitive communication—"showing your work"—is essential.

Compensation and Work Arrangement

This is a contract position offering a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary. As a contractor, you will supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. This is a fully remote role.

Key skills/competency

  • Artificial Intelligence
  • Machine Learning
  • Algorithm Optimization
  • Data Structures
  • Software Engineering
  • Computer Networks
  • Cybersecurity
  • Cloud Computing
  • Database Management
  • Systems Architecture

Tags:

AI Trainer
Computer Science
Artificial Intelligence
Machine Learning
Algorithms
Data Structures
Software Engineering
Neural Networks
Prompt Engineering
Model Evaluation
Cybersecurity
Cloud Computing
Database Management
Systems Architecture
Distributed Systems
Object-Oriented Design
Performance Tuning
Technical Communication
Research
Freelance

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How to Get Hired at Meridial Marketplace, by Invisible

  • Research Meridial Marketplace's mission: Study their goals for AI development, values, and how they leverage expertise to enhance large language models.
  • Highlight AI/ML expertise: Customize your resume to showcase advanced degrees, publications, and practical experience in machine learning and AI model training.
  • Demonstrate clear communication: Prepare to articulate complex computer science concepts and problem-solving processes, emphasizing "showing your work" during interviews.
  • Showcase relevant projects: Detail specific projects involving algorithm optimization, data structures, or software engineering that align with AI model challenge scenarios.
  • Understand prompt engineering: Familiarize yourself with principles of effective prompt engineering and be ready to discuss potential improvements to evaluation metrics for AI models.

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