Data Collection Operations Specialist – AI Training Data (Contract)

Remote job

Your Personal AI

Your Personal AI specializes in tailored AI and machine learning solutions for businesses. From data collection to advanced AI model development, we empower companies with innovative tools to optimize operations, drive growth, and achieve...

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Help build the datasets that power tomorrow's AI breakthroughs

We're scaling multiple high-volume data collection pipelines across speech, audio, text, and visual content to train cutting-edge AI models. We need a detail-oriented operations specialist who thrives in fast-paced environments and can juggle multiple concurrent projects while maintaining exceptional quality standards.

What You'll Own

Pipeline Management & Participant Experience

  • Design and execute end-to-end participant journeys from recruitment through final payout

  • Build scalable processes to consistently hit weekly throughput targets across 3-5 active projects

  • Create seamless onboarding experiences that maximize participant completion rates

Process Optimization & Automation

  • Identify repetitive tasks and implement systems to streamline operations

  • Build tracking and monitoring systems that give stakeholders real-time project visibility

  • Design workflows that minimize manual touchpoints while maintaining quality control

Quality Assurance & Compliance

  • Develop sampling strategies and quality control checkpoints to maintain 95%+ acceptance rates

  • Ensure bulletproof compliance with consent protocols and data handling requirements

  • Implement rapid feedback loops to minimize re-work and optimize participant experience

Operations Excellence

  • Provide lightning-fast technical support (sub-12 hour response time) across multiple channels

  • Generate actionable weekly reports with clear recommendations for process improvements

  • Identify bottlenecks before they impact delivery and proactively implement solutions

What Success Looks Like

  • Throughput: Consistently meet or exceed weekly volume targets across all active projects

  • Quality: Maintain rejection rates below 5% through proactive quality management

  • Efficiency: Reduce manual touchpoints by 30% through intelligent process design

  • Participant Satisfaction: Achieve high completion rates and positive feedback scores

What We Offer

  • Competitive contract rates commensurate with experience

  • Flexible remote work arrangement with significant autonomy

  • Opportunity to work with cutting-edge AI technology and see your impact in real-world applications

  • Fast-paced environment with significant growth potential as we scale operations

  • Direct collaboration with AI researchers and product teams

  • Chance to shape and improve our operational infrastructure as we grow

Requirements

Essential Experience

  • 1-3 years in data operations, crowdsourcing platforms, content moderation, or research operations

  • Proven track record meeting aggressive KPIs while maintaining quality standards

  • Experience managing 100+ participants or contributors simultaneously

Operational Mindset

  • Natural systems thinker who sees opportunities to improve workflows

  • Experience building processes from scratch in fast-moving environments

  • Comfortable identifying the right tools and platforms for different operational challenges

Communication Excellence

  • Outstanding written English with ability to explain complex processes simply

  • Experience providing technical support via email, chat, or ticketing systems

  • Multilingual abilities are a major plus given our global participant base

Work Style

  • Self-directed and comfortable working with minimal supervision

  • Thrives in ambiguous environments where you build processes from ground up

  • Detail-oriented with strong follow-through on commitments

  • Reliable home office setup with professional communication capabilities

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Job stats:  4  0  0
Category: Deep Learning Jobs

Tags: DataOps KPIs Pipelines Research

Perks/benefits: Flex hours Home office stipend

Region: Remote/Anywhere

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