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AI Model Training Specialist - Bash Coding Expert

Job in New York, New York County, New York, 10261, USA
Listing for: MERIT Beauty
Full Time position
Listed on 2026-05-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

Job Overview

As an AI Model Training Specialist with a focus on Bash coding, you will play a crucial role in enhancing the performance of AI models through precise data annotation and validation. You will be responsible for training AI systems by providing domain expertise and ensuring the quality of data used in machine learning applications.

Key Responsibilities
  • Train and improve AI models through effective data annotation and labeling.
  • Review and validate AI-generated content for accuracy and relevance.
  • Utilize Bash scripting to automate data processing tasks and improve efficiency.
  • Provide domain expertise to enhance AI model performance across various fields.
  • Participate in multiple AI training projects to deliver high-quality data solutions.
  • Collaborate with cross-functional teams to ensure alignment on project objectives and deliverables.
Required

Skills and Qualifications
  • Proficiency in Bash scripting and command-line tools.
  • Strong attention to detail and commitment to quality assurance.
  • Experience in data annotation and validation processes.
  • Familiarity with AI and machine learning concepts.
  • Excellent communication skills and ability to work in a team-oriented environment.
Preferred Qualifications
  • Experience with other programming languages such as Python.
  • Background in computer science or a related field.
  • Previous experience in AI training or data annotation roles.
What We Offer

At Rise Data Labs, we value our employees and are committed to their growth and development. We offer competitive hourly rates, flexible working hours, and a collaborative work culture that encourages innovation and creativity.

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