Trusted network of language experts and domain specialists ensuring accurate and ethical data for trustworthy AI at scale.
Our workforce is built through targeted recruitment, structured vetting, and performance-based qualification designed to deliver consistent, defensible data quality for enterprise AI programs.
Our global expert network includes linguists, annotators, STEM specialists, technical writers, human raters, and domain subject matter experts across 150+ languages. Contributors are sourced through direct recruitment, vetted vendor partners, and specialist channels rather than open marketplaces.
Targeted. Structured. Calibrated. Performance-based.
Contributors don't enter production until they've cleared every stage — sourcing, screening, calibration, and continuous quality tracking.
Contributors are sourced through verified channels, in-region partnerships, and specialist recruitment pipelines. For rare or low-resource languages, we source in-region to preserve cultural and linguistic authenticity.
Language proficiency tests, domain skill assessments, and credential verification happen before contributors enter the pool. For higher-sensitivity programs, additional background checks and signed confidentiality agreements are required.
Contributors complete project-specific calibration tasks and pilot phases before production work begins. Only those meeting accuracy thresholds and rubric alignment standards are activated for live programs.
Quality scoring and inter-annotator agreement are continuously tracked and access validated through quality metrics.
Matched to the right level of expertise.
Contributors are classified by proficiency and experience level so client programs are matched to the right level of expertise.
Basic annotation and large-scale data labeling.
Moderate-complexity tasks with higher accuracy needs.
Native-level understanding and contextual labeling.
Complex annotation requiring domain-specific knowledge.
High-stakes projects requiring expert consulting and quality control.
36 global locations. Continuous handoffs. Time-sensitive AI data work that runs around the clock.
Argos Data operates a follow-the-sun delivery model. Programs can run continuously across time zones, with handoffs between regions for sustained throughput on time-sensitive AI data work.