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Supports Business Development Directors with account coordination, client relationship development, prospect research, presentations, proposals, account planning, and early-stage sales activities. Maintains Salesforce data, assists with RFP, RFQ, and RFI responses, and collaborates with global cross-functional teams. The role offers training and mentorship for developing B2B consultative sales and account management skills.

Evaluate, annotate, and quality-check AI-generated text, image, audio, and video content in Spanish. Identify edge cases, ensure guideline compliance, participate in calibration, and provide feedback to improve datasets and annotation workflows for generative AI models.

Lead linguistic testing for Croatian: ensure high-quality, natural localized content, coordinate and train testers, manage linguistic assets, handle client communication, plan and execute quality management, and support onboarding and terminology/style liaison tasks.

Lead and manage Croatian linguistic testing for a long-term onsite project: ensure language quality, coordinate and train testers, handle client communication, manage linguistic assets, execute quality plans, and deliver timely, accurate localized content.

Evaluate personalized search queries and suggested places (e.g., restaurants) based on your activity history, rating relevance and usefulness per project guidelines and completing tasks accurately.

Facilitate live supervised voice recording sessions for a conversational AI project: coach participants, monitor real-time technical and conversational quality, complete calibration, and independently run ~4-hour sessions to capture natural, specification-compliant audio.

Evaluate AI outputs, perform audit-based reviews, identify failure modes and trends, apply and refine guidelines, communicate findings, participate in calibrations and stakeholder syncs, and help improve evaluation frameworks for human-in-the-loop AI.

Evaluate AI outputs, audit model behavior, apply and refine labeling guidelines, identify failure modes and trends, document findings, and collaborate with cross-functional teams to improve model evaluation and data quality.

Audit and review data labeling outputs, provide actionable feedback, train and support labeling teams, monitor workflows, identify recurring issues and edge cases, participate in calibrations and stakeholder syncs, and help improve guidelines and processes in human-in-the-loop AI workflows.

Audit and ensure quality of data labeling outputs, coach and onboard Data Labeling Associates, provide actionable feedback, monitor workflows, identify patterns and edge cases, and help improve guidelines and processes in human-in-the-loop AI workflows.