---
title: 'Test Engineer at SuperAnnotate AI'
canonical: 'https://feeny.ai/job/test-engineer-superannotate-ai-yerevan-yqv663a6c5kw'
type: 'job'
last_seen: '2026-09-09'
---

# Test Engineer at SuperAnnotate AI

- **Company:** SuperAnnotate AI
- **Location:** Yerevan, Armenia
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-30
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.lever.co/superannotate/cfd8a7ee-36b4-4815-b410-ade115ccc867

## Job description

## About SuperAnnotate

SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.

## Role

Our team is seeking a Mid-level Test Engineer to help ensure the success of our API and Enterprise applications and services by automating the testing process using modern testing methodologies and tools. The ideal candidate will advocate for QA best practices while delivering top-notch products that offer an exceptional user experience.

## Your Day

Create detailed, comprehensive, and well-structured test plans and test cases. Perform manual testing to identify and report bugs, ensuring that the application meets requirements and acceptance criteria. Design, develop, and maintain automated test scripts using Python, Selenium, and pytest. Implement and manage the Page Object Model (POM) for scalable and maintainable test automation. Develop API automation tests to ensure the robustness and reliability of backend services. Conduct exploratory testing to uncover potential issues that automated tests might miss. Collaborate with product owners, developers, and other stakeholders to understand requirements and acceptance criteria. Work with DevOps to enhance continuous integration processes. Execute automated tests, analyze results, and report defects with clear and concise descriptions. Monitor test results and provide feedback to the development team for immediate resolution. Maintain up-to-date documentation of test cases, test scripts, and test results.

What is needed to get started

3+ years of experience as a QA Engineer Experience with Python, Selenium, and API testing

## Experience with AI tools is a plus

Good understanding of POM Strong knowledge of software QA methodologies, tools and processes Understanding of agile processes from a quality perspective Good communication skills in English and Armenian

## What We Offer

- A competitive compensation package including stock options
- Medical insurance for you and your family members
- Lifecare insurance for you
- English Classes
- Flexible paid time off and work-from-home policy
- Referral program

Only shortlisted candidates will be contacted for an interview!

## Equal Opportunity

We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.

## About SuperAnnotate AI

## Company Overview
- **One-liner**: SuperAnnotate provides a data-centric platform and integrated managed services for building, evaluating, and aligning frontier AI models through high-quality human data annotation and reinforcement learning.
- **Entity Type**: Private (Series B, $50M total funding)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2018
- **Founders**: Vahan Petrosyan (CEO & Co-founder), Tigran Petrosyan (Co-founder)

## Core Business
- Primary industry/industries: AI Data Infrastructure, Software Development, Data Annotation & Evaluation
- Target customers: Enterprise AI teams, frontier research labs, and advanced AI model builders (B2B/Enterprise)
- Mission or purpose statement: "Accelerate the pace of AI innovation to create a smarter, safer, and more sustainable world."

## Products & Services
- **Platform**: A feedback-driven annotation and evaluation platform to create and manage training data. Includes tools for building custom annotation UIs (low-code "Builder"), orchestrating CI/CD pipelines, automating data workflows, and fine-tuning AI models.
- **Managed Services**: A global network of thousands of rigorously vetted experts for ethical, scalable managed operations, precise talent matching, and end-to-end project visibility. Powers annotation, evaluation, and reinforcement learning workflows.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: $50M total funding raised (Series B of $36M in Nov 2024, expanded to $50M with a $13.5M investment from Dell Technologies Capital in June 2025). Annual revenue is estimated at $45.5M.
- **Notable Investors/Partners**: NVIDIA, Databricks Ventures, Dell Technologies Capital, Cox Enterprises (via Socium Ventures), Lionel Messi’s Play Time VC, Base10 Partners, Point Nine Capital.
- **Growth Signals**: Named 2025 Databricks Customer Impact Partner of the Year. Workforce of 253 employees (+19.9% YoY). Trusted by Databricks, IBM, and ServiceNow. Rated #1 AI Data Company on G2.

## Competitive Advantages
- **End-to-End Platform + Services**: Combines a purpose-built technology platform with a global network of vetted experts, offering full project visibility and control.
- **Top-Tier Backing & Trust**: Backed by leading AI infrastructure players (NVIDIA, Databricks) and trusted by major enterprise innovators, creating a powerful ecosystem and credibility.
- **Focus on Complex Frontier AI Workflows**: Specifically designed for advanced tasks like evaluation, alignment, and reinforcement learning, not just basic annotation.

## Strategic Focus
- Scaling its global expert network and platform capabilities to meet the exploding demand for high-quality human data to build, evaluate, and align frontier AI models.
- Deepening partnerships within the AI ecosystem (e.g., with NVIDIA, Databricks) to integrate its offerings and expand its enterprise customer base.

## Why Work Here
- **Culture & Values**: Described as a fast-paced environment fostering innovation, professional development, and personal growth. Core values focus on collaboration, ownership, and impact.
- **Team & Global Presence**: A diverse team of 253 people across 48 countries, with offices in San Francisco (HQ), Yerevan, Armenia, and Stockholm, Sweden. Offers a hybrid work model for many roles.
- **Benefits**: Offers health insurance & wellness programs, stock options, growth & development opportunities, and a retirement plan.
- **Engineering & Technical Environment**: A significant portion of the workforce (18%) is in technical roles. The company is building the "backbone of AI," working on cutting-edge problems in data infrastructure for large language models and frontier AI.
- **Hiring Process**: A transparent, structured process: Resume screening → Recruiter screen → Team meet → Skills assessment → Leadership interview. All candidates for a given role go through the same process. They are an equal opportunity employer.

## Sources
1. [superannotate.com](https://www.superannotate.com/company)
2. [superannotate.com](https://www.superannotate.com/careers)
3. [linkedin.com](https://www.linkedin.com/company/superannotate)
4. [cbinsights.com](https://www.cbinsights.com/company/superannotate)
5. [jobs.lever.co](https://jobs.lever.co/superannotate)

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