

AI Data Trainer – Software
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Trainer – Software, a 6-month remote contract position, offering $120.00 - $125.00 per hour. Requires a Bachelor's degree, 5+ years in software development, expertise in Python, JavaScript, Rust, and ML/AI systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1000
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🗓️ - Date discovered
July 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#Cloud #Computer Science #Documentation #Datasets #GCP (Google Cloud Platform) #C++ #ML (Machine Learning) #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Docker #Model Evaluation #Azure #Programming #JavaScript #Python #Kubernetes
Role description
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Role: AI Data Trainer – Software
Location: Remote US
Duration: 6 months Contract
About the Role:
We are seeking experienced Software Engineers to develop and evaluate high-quality training data for our advanced AI models. As part of the Human Data Operations team, you will architect, analyze, and curate sophisticated datasets that facilitate the training of large language models. You will work closely with our research and engineering teams to ensure our AI systems demonstrate key traits like helpfulness, honesty, and harmlessness while maintaining technical excellence.
Key Responsibilities:
Design and implement data collection systems and pipelines for AI model training
Architect and evaluate datasets for AI model training and benchmarking
Provide in-depth analysis of model behaviors, performance, and interaction patterns
Develop and curate complex code examples and solutions in multiple languages (Python, JavaScript, Rust, C/C++)
Lead evaluation efforts of AI-generated code to enforce industry-leading standards
Identify and analyze emerging trends, edge cases, and opportunities for improvement
Develop advanced benchmarks and evaluation methodologies for AI capabilities
Create technical documentation and evaluation frameworks
Quality Standards:
Maintain high levels of precision and consistency in data labeling and code evaluation
Follow annotation guidelines and quality control processes
Participate in regular quality audits and calibration exercises
Document clear rationales for evaluation decisions
Flag edge cases and provide detailed feedback on challenging examples
Required Qualifications:
Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or related technical field
5+ years of professional software development experience
Expert proficiency in multiple programming languages (Python, JavaScript, Rust)
Strong full-stack development experience across frontend and backend systems
Advanced understanding of data structures, algorithms, and system architecture
Experience with ML/AI systems, preferably language models or related technologies
Strong attention to detail with exceptional analytical and critical thinking skills
Outstanding written and verbal communication abilities
Proven ability to work independently while delivering high-quality output
Other Qualifications:
Master's degree in Computer Science, AI, or related field preferred
Experience with AI language models, prompt engineering, or model evaluation
Deep knowledge of machine learning frameworks and concepts
Previous experience developing tooling for data labeling or annotation platforms
Expertise in cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
Experience with distributed systems and high-performance computing
Understanding of ethical considerations in AI development
Job Type: Contract
Pay: $120.00 - $125.00 per hour
Schedule:
Monday to Friday
Education:
Bachelor's (Required)
Experience:
Python programming: 5 years (Required)
Rust programming: 5 years (Required)
JavaScript programming: 5 years (Required)
Full-stack development: 5 years (Required)
data structures: 5 years (Required)
algorithms: 5 years (Required)
system architecture: 5 years (Required)
ML/AI systems, preferably language models : 5 years (Required)
prompt engineering: 5 years (Required)
model evaluation: 5 years (Required)
machine learning frameworks and concepts: 5 years (Required)
data labeling or annotation platforms: 5 years (Required)
cloud infrastructure and containerization : 5 years (Required)
distributed systems and high-performance computing: 5 years (Required)
Work Location: Remote