Position: Manual QA
Company: UTOR
Experience required: 2y
English level: intermediate

**This is a full-time position with a fixed monthly salary**

**About the project:**
A system for speech recognition and analysis using the ML. The system produces notes about the audio, showing the important meanings that have been said in the audio. NLP and other techniques are used for analysis.

The team is very friendly.
The client loves the approach of giving value to their product. Our goal will be to give maximum value in terms of quality.

Now they are at the stage of raising investments, the project is promising, the team will grow.

We have already done an in-depth audit (3 calls) where we found out all their main problems. A document with details is available upon request. 

The project will also connect test automation on Cypress (they already have the beginning of API automation)

**Expectations from QA:**
🎯Good spoken English
🎯Implement the strategy that was developed in the audit
🎯2 years of practical experience in testing
🎯The ability to create test documentation, test strategy, test cases, checklists, and other 

**UTOR offer:**
⚡️Friendly relationships with QA engineers in an open-minded community. Despite the remote type of work, we keep in touch among all UTOR members. We have regular calls where we can discuss everything from our life goals to a new Netflix show;
⚡️Flexible working hours. We support the idea of a work-life balance. It's up to you to decide at what time of day it's best to complete the task. You can schedule your day according to your needs and plans;
⚡️Fully remote. You don't have to waste your time commuting to work and spend hours in traffic jams. Instead, you can spend these hours as you wish;-⚡️Opportunities to develop in different areas (web, mobile, backend testing, API testing, etc);

ARE YOU THE PERSON WE'RE LOOKING FOR? SEND YOUR CV AND JOIN UTOR TEAM RIGHT NOW!

Recruitment flow:
CV screening ➡️we negotiate details ➡️ interview with HR ➡️technical interview