Job Description

About Terac: Terac is the premier, internationally recognized AI data marketplace pioneer, qualitative user research innovator, and human intelligence infrastructure leader on an absolute mission to build the world’s largest pool of identity-verified human experts for frontier AI. Sourced heavily by researchers, global product teams, and elite AI training labs, Terac platform replaces legacy, low-signal crowdworking networks with high-fidelity, identity-verified domain practitioners spanning engineering, medicine, finance, and 200 plus highly specialized technical branches. By deploying advanced screening pipelines and programmatic data verification mechanics, Terac captures real practice insights to drive RLHF signals, fine-tuning datasets, and model evaluation safety loops. The organization provides high-agency technical leaders with a seamless remote canvas to monetize their specific, hard-won industry knowledge and shape the future of machine learning systems safely worldwide.

Position Overview

We are seeking highly analytical, systems-minded IT Data Leaders to participate in a paid, high-leverage research study in a short-term remote contract capacity across the United States. In this specialized participant track, you will step up to claim individual strategic operational accountability for evaluating contemporary data architectures, cloud data warehousing structures, and enterprise business intelligence adoption metrics. Shifting completely away from administrative survey checklists or passive opinion logging, you will participate as a verified subject-matter expert—navigating through a structured desktop-based assessment to critique the software usability, feature constraints, and scaling capabilities of the analytics tools you manage daily. This target sprint requires an enterprise data architecture veteran who coordinates large-scale analytics platforms fluidly, evaluates vendor tooling constraints smoothly natively using AI Engineer optimization mindsets, and reviews big-data pipelines confidently.

Key Responsibilities

• Enterprise Platform Usability Evaluation: Complete a rigorous, 15-minute structured technical research survey from your desktop computer, providing firsthand tactical perspectives regarding modern database architectures natively utilizing AI Engineer feedback methodologies.
• Analytical Workflow Documentation: Detail your direct hands-on experience evaluating, implementing, and deploying major data storage layers, multi-tenant cloud instances, and transactional business intelligence networks.
• Tooling Friction Mapping: Provide specific, highly technical feedback regarding workflow bottlenecks, data-join constraints, indexing limits, and visualization friction points within the analytics engines you run in production.
• Video Identity Verification Compliance: Grant temporary web camera access during the active desktop session to fulfill strict participant verification checks and record concise, spoken-word responses to complex prompt escalations natively leveraging Data Analyst evaluation protocols.
• Trend Taxonomy Structuring: Answer highly targeted architectural inquiries designed to help researchers map modern global adoption trends across fragmented cloud data warehouses and enterprise analytics suites.

Required Skills & Qualifications

• Verified professional history operating currently or recently as a Senior Data Engineer, Lead Data Architect, Director of Analytics, Principal Business Intelligence Architect, or IT Infrastructure Manager inside an enterprise organization.
• Deep, authoritative technical command of modern enterprise data stack management, dataset normalization, extraction-transformation-loading (ETL) lifecycles, and relational cloud schemas.
• Expert-tier capability reviewing system latency, auditing query performance, and evaluating cloud resource allocations natively utilizing Data Analyst or database administrator tracking frameworks.
• Mandatory Cloud Infrastructure Exposure: Direct, hands-on day-to-day operational experience evaluating, deciding on, or managing major cloud platforms (specifically requiring active production familiarity with Snowflake, Databricks, Google BigQuery, or Microsoft Power BI systems).
• Uncompromised access to a reliable desktop computing setup equipped with a working web camera, stable internet bandwidth, and a secure browser configuration.
• Outstanding verbal and written communication traits in business-fluent English, enabling absolute clarity when articulating intricate technical workflows and system preferences out loud on camera.
• Location Context: Opportunity open exclusively to qualified enterprise data leaders based permanently and resident within the United States to complete the session under a 100% remote home-office environment.

Preferred Strategic Indicators (Nice to Have)

• Prior commercial engineering history managing database warehousing transitions or software-as-a-service (SaaS) procurement choices within heavily matrixed corporate environments.
• Possession of active enterprise platform certifications (such as Snowflake SnowPro Core, Databricks Certified Data Engineer Professional, or Google Cloud Professional Data Engineer credentials).
• An outcome-driven personal philosophy rooted in high technical clarity, an eager focus on helping advance open-source or commercial AI tools, and a comfort with sharing candid, direct feedback on camera.

What We Offer

• High-Yield Specialized Compensation: A competitive, one-time flat contract payout of $200 USD for a completed 15-minute remote desktop session, calibrated precisely to respect your high-level engineering authority and precious time.
• The exceptional professional canvas to directly influence and shape the foundational training datasets, alignment protocols, and feature roadmaps of the world most ambitious enterprise analytics platforms.
• Profound work-from-home parameters offering a 100% virtual execution layout, allowing you to launch and complete the session entirely on your own schedule out of any state in America.
• Direct integration into Terac premium, identity-verified expert panel network, unlocking long-term future eligibility for premium multi-task contracts, direct developer outreach loops, and high-rate expert consulting matches.

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