AI Analyst (Remote)

Role: AI Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $30/hour Role Overview: We are hiring for one of our clients, seeking an AI Evaluation Analyst to assess and improve the performance of AI models. The role involves designing evaluation frameworks, analyzing model outputs, and ensuring alignment with business objectives. Key Responsibilities: • Design and implement evaluation frameworks to assess AI model performance. • Analyze model outputs to identify strengths, weaknesses, and areas for improvement. • Collaborate with cross-functional teams to define evaluation criteria and metrics. • Document evaluation results and provide actionable insights for model refinement. • Ensure evaluations are scalable, reproducible, and aligned with industry standards. Required Skills & Qualifications: • Experience with AI model evaluation, including benchmarking and validation. • Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn). • Familiarity with evaluation metrics such as accuracy, precision, recall, and F1-score. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). • Strong analytical and problem-solving skills with attention to detail. • Ability to communicate technical findings to non-technical stakeholders. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of cutting-edge AI solutions. The position requires a structured approach to evaluating AI models and driving continuous improvement. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

The AI Analyst will design and implement evaluation frameworks to assess AI model performance and analyze model outputs to identify strengths and weaknesses. They will collaborate with cross-functional teams to define evaluation criteria and document results for actionable insights.

Candidates should have experience with AI model evaluation and proficiency in Python and relevant libraries. Familiarity with evaluation metrics and machine learning frameworks is also required, along with strong analytical and communication skills.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AI Model Evaluation
• Benchmarking
• Validation
• Python
• Pandas
• NumPy
• Scikit-learn
• Accuracy
• Precision
• Recall
• F1-score
• TensorFlow
• PyTorch
• Analytical Skills
• Problem-solving Skills
• Communication Skills

Expérience minimale

2+ ans