S
SuperAnnotate Tech Stack
Human-in-the-loop data platform for AI model training and evaluation
SuperAnnotate operates a managed annotation and evaluation service for frontier AI teams, built on Python/Java/Node.js with AWS infrastructure and integrations to OpenAI and Anthropic. The hiring mix—skewed toward engineering and data roles—combined with active projects around LLM annotation and AI trainer network scaling, reveals a company balancing platform engineering against high-volume operational labor sourcing. Pain points center on contractor workforce scaling and product system capacity, indicating tension between rapid demand and internal infrastructure maturity.
Tech Stack 33 technologies
Core StackPython Java C++ JavaScript AWS OpenAI Anthropic Linux Slack Jira TypeScript Next.js PostgreSQL AWS RDS AWS Lambda Terraform Prisma Node.js RabbitMQ Git Google Apple Meta macOS Windows Google Workspace Microsoft 365 Discord AWS CDK TypeORM+2 more
What SuperAnnotate Is Building
◆Challenges
- Scaling contractor workforce
- Scaling core product systems
- Quality control issues
- Improving contractor support experience
- Operational automation
- Ensuring timely delivery
- Resolving blockers
- Identifying workflow risks
- High-volume outbound sourcing
- Pipeline bottlenecks
▲Active Projects
- Llm annotation projects
- Global talent acquisition funnel
- Partner ecosystem development
- Growth dashboards
- Budgeting and forecasting cadence
- Metrics dashboards and reporting frameworks
- Financial process automation
- Outbound sourcing strategy
- Ai trainer network scaling
- Sourcing methodology innovation
Hiring Activity
Steady15 roles · 6 in 30d
Department
Seniority
Company intelligence
