AI Training Video Producer | Remote & Flexible Hours

Rise Data Labs

Australia

Hybrid

AUD 70,000 - 95,000

Full time

6 days ago
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Benefits offered by this job

Competitive compensation
Flexible working hours
Remote-friendly

Job summary

Rise Data Labs in Australia is seeking a Video Production Specialist for AI training to annotate and validate video data that fuels our AI models. You will review AI-generated footage, ensure accuracy, and contribute domain knowledge to improve data quality.

You will collaborate with cross-functional teams, manage multiple projects, and maintain high QA standards in a fast-paced environment. Experience in video production and familiarity with AI data practices are highly valued, with a flexible,

Qualifications

  • Proven experience in video production, editing, or related fields.
  • Strong attention to detail and commitment to quality.
  • Familiarity with AI concepts and data annotation practices.
  • Excellent communication and teamwork.
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Responsibilities

  • Train and improve AI models through meticulous video data annotation and labeling.
  • Review and validate AI-generated video content for accuracy and relevance.
  • Offer domain expertise to ensure high-quality training data for AI models.
  • Collaborate with cross-functional teams to identify and implement improvements in AI training workflows.
  • Maintain a high standard of quality assurance in all video data handling.
  • Participate in various AI training projects across industries.

Skills

Video production
Attention to detail
AI data annotation
Communication
Project management

Tools

Video editing software

Job description

Rise Data Labs in Australia is seeking a Video Production Specialist for AI training to annotate and validate video data that fuels our AI models. You will review AI-generated footage, ensure accuracy, and contribute domain knowledge to improve data quality.

You will collaborate with cross-functional teams, manage multiple projects, and maintain high QA standards in a fast-paced environment. Experience in video production and familiarity with AI data practices are highly valued, with a flexible,

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