Jobs at Centific

Annotates and curates Italian-language data to support the development of high-quality AI datasets and scalable generative AI solutions. The role contributes to multilingual data preparation for large language models and related AI applications.

Evaluate English-language content for clarity, coherence, accuracy, and overall writing quality using established guidelines. The role requires long-form text evaluation, attention to detail, independent work, repetitive-task consistency, basic Microsoft Office 365 knowledge, and general online communication familiarity. Candidates must be native English speakers, hold a bachelor’s degree or higher, and be authorized to work in the United States without sponsorship.

Own end-to-end delivery of multilingual AI programs, managing enterprise client relationships, cross-functional global teams, vendors, risks, dependencies, and program reporting. Standardize processes, support language-data and localization workstreams, identify account expansion opportunities, mentor delivery teams, and ensure measurable business outcomes through effective financial and resource planning.

Reviews and annotates image and video content using labels, bounding boxes, tracking IDs, event tags, and classifications. Edits and synchronizes captions, checking language accuracy, punctuation, grammar, and speaker attribution. Escalates ambiguous content, incorporates quality-assurance feedback, meets productivity and accuracy targets, attends training, and reports progress or issues to the team lead.

Reviews and annotates image and video content using labels, bounding boxes, tracking IDs, event tags, and classifications. Edits and synchronizes captions, ensuring accurate spelling, grammar, punctuation, and speaker attribution. Follows project guidelines, meets quality and productivity targets, escalates ambiguous content, incorporates QA feedback, attends training, and reports progress or issues to the Team Lead.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classifications. Edits and synchronizes captions, checking language accuracy, punctuation, and speaker attribution. The role follows project guidelines, addresses QA feedback, escalates ambiguous content, meets productivity and quality targets, attends training, and reports progress and issues to the Team Lead.

Reviews and annotates image and video content using labels, bounding boxes, tracking IDs, event tags, and classifications. Edits and synchronizes captions, checking language accuracy, punctuation, grammar, and speaker attribution. The role follows project guidelines, meets quality and productivity targets, escalates ambiguous content, incorporates QA feedback, attends training, and reports progress and issues to team leads. This is an on-site role with standard daytime working hours.

Reviews and annotates image and video content using labeling schemas, including bounding boxes, tracking IDs, event tags, classifications, and synchronized captions. Checks caption accuracy, grammar, punctuation, and speaker attribution; flags ambiguous content; incorporates QA feedback; meets productivity and quality targets; attends training; and reports progress and issues to the Team Lead. The role is on-site in the One North Area and requires comfort working with varied or sensitive video content.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions while checking language accuracy, speaker attribution, and formatting. Escalates ambiguous content, incorporates QA feedback, meets productivity and quality targets, attends training, and reports progress and issues to the Team Lead.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions, checking grammar, punctuation, spelling, and speaker attribution. Maintains accuracy and productivity targets, escalates ambiguous content, incorporates QA feedback, attends training, and reports progress and issues to the Team Lead.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions, checking grammar, punctuation, spelling, and speaker attribution. Escalates ambiguous content, incorporates quality-assurance feedback, meets productivity and accuracy targets, attends training, and reports progress to team leads. The role is on-site in the One North area and involves potentially sensitive video content.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions, checks language accuracy and speaker attribution, escalates ambiguous content, incorporates quality feedback, meets productivity and accuracy targets, attends training, and reports progress and issues to the Team Lead.

Develop and maintain automated testing strategies, frameworks, test cases, utilities, and CI/CD integrations for web and desktop applications. Perform functional, regression, performance, compatibility, API, and security testing while analyzing results with AI-assisted tools. The role also advances AI-driven QA practices, supports test infrastructure, collaborates in Agile teams, and may mentor automation testers.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions, correcting language, punctuation, timing, and speaker attribution. Escalates ambiguous content, incorporates quality feedback, meets productivity and accuracy targets, attends training, and reports progress or issues to the Team Lead.

Manage business operations and FP&A activities, including Order-to-Cash execution, P&L forecasting, project accounting, cash flow, compliance, SLA tracking, performance metrics, and financial reporting. Collaborate with accounting, HR, sales, delivery, and global teams to support business needs, guide planning processes, and provide actionable insights and management presentations.

Develops and executes manual and automated test plans, verifies system functionality and database integrity, updates test cases and automation scripts, analyzes failures, documents bugs, and reports test results. The role requires reading at least one programming language, configuring systems, writing test cases in English, and accurately describing testing issues.

Reviews, annotates, grades, and evaluates text, image, and video content using predefined guidelines. Conducts research and data collection, provides prompt responses and discrepancy feedback, maintains detailed records, and performs quality checks. Collaborates on refining grading rubrics, annotation criteria, feedback loops, and continuous improvement efforts while ensuring accurate, consistent, fair, and timely evaluations.

Conduct research and engineering across computer vision, vision-language models, 3D perception, and physical AI. Build and fine-tune perception and multimodal models, develop perception-to-action policies, curate datasets, design evaluations, run rigorous experiments, and deploy reproducible services using modern AI infrastructure. The role translates published research into prototypes and production-ready modules for robotics, simulation, video understanding, and embodied intelligence.

Build, fine-tune, evaluate, and deploy production AI systems spanning vision, multimodal, generative, agentic, simulation, and robotics applications. Develop data and inference pipelines, optimize GPU workloads, monitor model performance, and improve robustness and safety. Collaborate with researchers, engineers, and customers to translate business needs into scalable AI solutions using NVIDIA, cloud, and MLOps technologies.

Lead frontier research in vision AI, multimodal foundation models, simulation-first learning, agentic AI, robotics, and embodied intelligence. Design architectures, training methods, benchmarks, and evaluation frameworks; guide large-scale distributed model development and sim2real integration. Lead researchers, engineers, and interns while mentoring talent, publishing research, developing technical IP, and advancing deployable systems for robotics, autonomous driving, and physical AI.