Jobs at Welo Global

Evaluate AI model outputs, conduct audit-based reviews, identify patterns and failure modes, apply and improve evaluation guidelines, and document actionable findings. The role requires native-level Marathi, strong English, structured writing, GenAI safety knowledge, critical thinking, and comfort making judgment calls in ambiguous situations. Associates collaborate with leads and stakeholders, participate in calibrations, and help refine quality standards. This is a full-time, one-year, 100% onsite contract role in specified U.S. cities.

Evaluate AI model outputs, audit data and model behavior, identify edge cases and failure modes, apply and improve evaluation guidelines, communicate performance trends, participate in calibration discussions, and document actionable findings. The role requires native-level Tamil, strong English and writing skills, critical judgment, attention to detail, and familiarity with GenAI safety considerations. This is a full-time, one-year, 100% onsite contract position.

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.

Audit and ensure quality of labeled data by reviewing DLA outputs, providing feedback and coaching, supporting onboarding and training, monitoring workflows, identifying recurring issues and edge cases, and contributing to guideline and process improvements in human-in-the-loop AI workflows.

Evaluate AI model outputs, perform audit-based reviews, identify failure modes and trends, apply and improve guidelines, document findings, and collaborate with leads and cross-functional teams to refine quality standards.

Evaluate AI model outputs, perform audit-style reviews to find patterns and failure modes, apply and refine labeling/evaluation guidelines, document findings, communicate insights to leads and stakeholders, and participate in team calibrations to improve model evaluation and data quality.

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

Audit and monitor data labeling outputs, provide actionable feedback, support onboarding and training of annotators, enforce and improve guidelines, escalate workflow issues, and document findings to maintain high-quality human-in-the-loop AI data processes.

Audit and ensure quality of data labeling work for ML using human-in-the-loop processes. Provide feedback, train and support annotators, monitor workflows, identify recurring issues, and help improve guidelines and processes.

Evaluate AI outputs, perform audit-based reviews, identify patterns and failure modes, apply and improve annotation/evaluation guidelines, document findings, and communicate insights to cross-functional teams to improve model performance and evaluation frameworks.

Evaluate AI model outputs, perform audit-based reviews to identify patterns and failure modes, apply and refine guidelines, document findings, and collaborate with leads and cross-functional teams to improve model evaluation and data quality.

Leads English-to-Bosnian Cyrillic localization quality for UI, marketing, product, legal, informational, and support content. Owns client alignment, arbitration, quality audits, reviewer coaching, style guide analysis, monthly reporting, and continuous improvement. Serves as the primary linguistic contact for the client Language Manager and ensures consistent quality standards across the review community.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Own Serbian Cyrillic localization quality for UI, marketing, product, legal, support, and informational content. Lead client alignment, arbitration, quality audits, reviewer coaching, roundtables, reporting, and style guide improvements. Serve as the primary linguistic contact for the client’s Language Manager and drive consistency across the language community.

Own English-to-Kazakh localization quality for UI, marketing, product, legal, informational, and support content. Serve as the primary client-facing linguistic expert, interpret quality standards, manage arbitration and escalations, coach reviewers, facilitate alignment sessions, analyze quality data, publish monthly reports, and propose style guide improvements. Requires native-level Kazakh, professional English, strong localization quality assurance experience, stakeholder management, and expertise with RQE, LQE, error rubrics, and severity mapping.

Leads English-to-Kyrgyz localization quality for UI, marketing, product, legal, support, and informational content. Owns quality standards, reviewer coaching, alignment sessions, arbitration records, client stakeholder communication, quality reporting, and continuous improvement. Analyzes style guides, error trends, severity patterns, and client expectations to improve consistency and review performance across the locale.

Own Ukrainian localization quality for UI, marketing, product, legal, informational, and support content. Serve as the primary client-facing language expert, interpret quality standards, manage arbitration and escalations, coach reviewers, facilitate alignment sessions, analyze quality metrics, and drive style guide and process improvements.