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Terac
Education & Coaching 15h ago

Research Study: Home Training Equipment Methodology Guide & Screen Recording

Terac
United StatesUnited States
Contract
$400 one-time
Mid-Level

Job Description

Key Skills Required

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We're conducting a paid study on home training equipment selection and coaching methodology, focusing on how fitness professionals assess client constraints—particularly for apartment living—to build effective equipment lists. This research aims to evaluate best practices in remote personal training and at-home fitness setups.

How It Works

You will deliver:

  • A written home training equipment methodology guide of approximately 4,000 words.
  • A 30-45 minute narrated screen capture demonstrating a live equipment selection workflow for an apartment client scenario.
  • Explanations of your rationale for navigating constraints and selecting/discarding equipment.

The entire process is asynchronous and submitted remotely.

Who This Is For

Ideal candidates are:

  • Practicing personal trainers, remote fitness coaches, or strength and conditioning specialists.
  • Experienced in designing customized at-home workout programs for clients with limited space.
  • Comfortable with detailed methodology documentation and screen recording while explaining decision-making.

Key Responsibilities

  • Write an in-depth methodology guide (4,000 words).
  • Record a 30-45 minute narrated screen capture of equipment selection.
  • Explain space constraints and equipment rationale for an apartment client.

Qualifications

  • Active personal trainer or fitness coach.
  • Experience with limited-space workout programs.
  • Ability to produce long-form written content.
  • Capable of clear narrated screen recordings.

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Terac is an elite, enterprise-grade AI-native market research and expert data orchestration platform engineered to operate as the definitive, high-velocity infrastructure layer connecting frontier AI models and enterprise product teams with on-demand human expertise. Operating as a mission-critical "intelligence infrastructure layer" for the modern data economy, the company eliminates the severe operational friction of traditional qualitative research—which frequently suffers from slow participant sourcing, manual scheduling bottlenecks, and multi-week analysis cycles—by deploying automated, voice-based AI agents capable of conducting natural, personalized interviews with hundreds of participants simultaneously. Moving far beyond rigid legacy survey tools, Terac serves a dual purpose: it acts as a scalable consumer insights engine for product teams and a highly vetted marketplace for the human data economy, allowing frontier AI labs and research institutions to instantly tap into specialized, high-stakes human judgment for model evaluation and RLHF. Under the hood, their sophisticated proprietary validation infrastructure—backed by top-tier venture capital—natively handles automated participant recruitment, strict quality-control vetting, smart routing, multi-region payouts, and immediate programmatic synthesis of unstructured conversation into structured, actionable data graphs. What sets Terac apart is its uncompromising dedication to shifting how humans and AI collaborate at scale; by bridging the gap between performance-intensive, data-hungry enterprise workflows and accessible, flexible expert panels, the firm enables global technology organizations to radically accelerate their product-market loops, eliminate data engineering bottlenecks, and build an unassailable foundation for continuous model and product alignment.

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