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AI Training Specialist (Remote )

Australia
Full-time
Posted Today
Internship
Remote
AIMLData ScienceHuman ResourcesMarketing Services

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Job Description

🤖 AI Training Specialist

Remote | Full-Time or Part-Time | Australia-Based

We are seeking a detail-oriented AI Training Specialist to support the development and enhancement of advanced AI and machine learning models. This fully remote role offers flexible working hours, allowing you to contribute from anywhere in Australia.

📍 Location: Remote (Australia)

🕒 Employment Type: Full-Time or Part-Time (flexible hours)

🛂 Eligibility: Must have valid Australian work rights (citizens, PR, or WHV holders welcome)

🔍 Key Responsibilities:
  • Prepare, label, and annotate datasets used for AI training
  • Collaborate with data scientists and engineers to improve model accuracy
  • Perform quality control and validation on training data and AI outputs
  • Document procedures and maintain training records for continuous improvement
  • Keep up-to-date with AI and machine learning advancements
  • Assist in refining AI training processes and workflows
🎯 Ideal Candidate:
  • Experience or strong interest in AI, machine learning, or data annotation
  • Detail-oriented with high accuracy in data handling
  • Familiarity with annotation tools and data labeling techniques
  • Basic understanding of AI/ML concepts is an advantage
  • Ability to work independently in a remote setting
  • Strong communication and teamwork skills
✅ Preferred Skills:
  • Experience with Python or other scripting languages
  • Knowledge of NLP, computer vision, or other AI domains
  • Prior experience in data labeling, content moderation, or dataset preparation
  • Familiarity with cloud platforms and data management tools
🌟 Benefits:
  • Fully remote position with flexible hours
  • Option for part-time or full-time work to suit your lifestyle
  • Collaborative and innovative team environment
  • Competitive pay and opportunities for career growth
  • Access to AI tools and training resources

  • Source: LinkedIn
    31 applicants

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