Pattern Recognition Specialist – AI Trainer Job Micro1

  • Kenya
  • Permanent
  • Full-time
  • 1 day ago
Join our customer’s team as an AI – Pattern Recognition Specialist – AI Trainer and play a pivotal role in advancing cutting-edge solutions in artificial intelligence. You will leverage your expertise in pattern recognition and machine learning to train, evaluate, and refine AI systems, ensuring high performance on complex, real-world tasks. This is an ideal opportunity to work collaboratively within a dynamic, remote-first environment.Key Responsibilities:
  • Design, develop, and refine training data and evaluation protocols for AI systems focused on pattern recognition and symbolic reasoning.
  • Apply advanced machine learning and NLP techniques to identify, match, and analyze complex data patterns, including strings, anagrams, and semantic structures.
  • Craft and implement precise, measurable evaluation factors, aligning them with well-defined rationales and objectives.
  • Collaborate closely with multi-disciplinary teams to provide expert feedback and iterate on AI model development.
  • Document training strategies, experimental results, and analytic findings with clarity and professionalism.
  • Leverage strong analytical writing and communication skills to articulate methodologies, outcomes, and recommendations to both technical and non-technical stakeholders.
Required Skills and Qualifications:
  • Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, or Computational Linguistics.
  • Demonstrated proficiency in data science, symbolic reasoning, machine learning, and natural language processing principles.
  • Specialized expertise in pattern recognition, including methods such as string matching, anagrams, and advanced ML/NLP techniques.
  • Comprehensive understanding of AI/NLP fundamentals: vector embeddings, similarity measures, and classifiers.
  • Exceptional analytical writing skills and attention to detail in both written and verbal communication.
  • Ability to develop clear, objective, and measurable evaluation frameworks for AI models.
Preferred Qualifications:
  • Master's or Ph.D. in a relevant technical field.
  • Experience working on annotation or AI training pipelines for commercial or research projects.
  • Evidence of thought leadership in pattern recognition, AI, or computational linguistics (e.g., publications, open-source contributions).
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