SuperAnnotate tech stack

SuperAnnotate builds mostly with Python, SQL. Its stack also includes Anthropic, OpenAI, Pytest, Selenium. Python is named in 4 of the 5 job postings SuperAnnotate published in the last 12 months (80%). Counted by Alion from the job postings of SuperAnnotate, updated Oct 8, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 8, 2026
Technologies in use
17
Postings analysed
5
Open now
2
Modernity
76 /100

What programming languages does SuperAnnotate use?

Python is named in 80% of job postings at SuperAnnotate, followed by SQL (20%).

Python 4 80% required in 75% · 1 open now · since Apr 2026
SQL 1 20% required in 100% · 1 open now · since Jun 2026

What frameworks and libraries does SuperAnnotate use?

Pytest is named in 20% of job postings at SuperAnnotate, followed by Selenium (20%).

Pytest 1 20% required in 100% · since Apr 2026
Selenium 1 20% required in 100% · since Apr 2026

What cloud and platforms does SuperAnnotate use?

Anthropic is named in 20% of job postings at SuperAnnotate, followed by OpenAI (20%).

Anthropic 1 20% required in 100% · 1 open now · since Jun 2026
OpenAI 1 20% required in 100% · 1 open now · since Jun 2026

What AI and ML technologies does SuperAnnotate use?

LLM is named in 40% of job postings at SuperAnnotate.

LLM 2 40% required in 100% · 1 open now · since Jun 2026

Which engineering practices does SuperAnnotate ask for?

Machine Learning is named in 40% of job postings at SuperAnnotate, followed by Multimodal AI (40%), AI Agents (20%), CI/CD (20%).

Machine Learning 2 40% required in 100% · 1 open now · since Jun 2026
Multimodal AI 2 40% required in 100% · since Jul 2026
AI Agents 1 20% required in 100% · since Jul 2026
CI/CD 1 20% required in 100% · since Apr 2026
LLM Evaluation 1 20% required in 100% · since Jul 2026
NLP 1 20% required in 100% · since Jul 2026
RLHF 1 20% required in 100% · 1 open now · since Jun 2026
Human-in-the-Loop 1 20% optional · since Jul 2026
Show all (10)
Reward Modeling1
Synthetic Data1

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How modern is the SuperAnnotate stack?

Cutting-edge AI adopter 76/100

SuperAnnotate scores 76 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How common is the SuperAnnotate stack in its industry?

Share of the 65 companies in the same industries, whose stack Alion knows, that use each technology.

Python74%
LLM58%
Anthropic22%
OpenAI26%
Pytest9%
SQL49%
Selenium5%

Questions about the SuperAnnotate tech stack

What programming languages does SuperAnnotate use?

The languages named in SuperAnnotate job postings are Python (80%), SQL (20%), as a share of the 5 postings of the last 12 months.

What cloud and platforms does SuperAnnotate use?

The cloud and platforms named in SuperAnnotate job postings are Anthropic (1), OpenAI (1) (postings in brackets).

Is the SuperAnnotate tech stack changing?

No new technology has appeared in SuperAnnotate job postings in the last six months.

How modern is the SuperAnnotate tech stack?

SuperAnnotate scores 76 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How does Alion know the SuperAnnotate tech stack?

Alion reads every job posting SuperAnnotate publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Oct 8, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "SuperAnnotate tech stack: 17 technologies from 5 job postings", as of Oct 8, 2026. https://alion.io/company/superannotate/technologies

Licence: CC BY-SA 4.0JSON