Labellerr hiring freshers for QA Engineer Internship | Fresher

Labellerr hiring freshers for QA Engineer Internship | Fresher

Labellerr Recruitment Drive :-

Labellerr is hiring candidates for the role of QA Engineer Internship for the Chandigarh locations. The complete details about Labellerr Recruitment Drive are as follows.

Company NameLabellerr
Job PositionQA Engineer Internship
Job LocationChandigarh
Salary Packageup to 15K-20K/month
ExperienceFresher
Period6 months
Last date to applyApply ASAP

About Internship:

  • We are seeking a motivated AI Product QA Intern to join our Quality Assurance team. As an AI Product QA Intern, you will work closely with our AI and product development teams to ensure the quality and reliability of our AI-driven products.
  • This internship offers a unique opportunity to gain hands-on experience in AI product testing, learn from industry experts, and contribute to the development of innovative solutions.

Key Responsibilities:

  • Test Case Development: Assist in developing, documenting, and maintaining comprehensive test cases for AI products, including functional, regression, and performance testing.
  • Testing Execution: Conduct manual and automated testing of AI products, ensuring they meet quality standards. This includes validating AI model outputs, performance metrics, and user experience.
  • Bug Identification and Reporting: Identify, document, and track bugs and issues in the software. Collaborate with developers to troubleshoot and resolve issues.
  • Data Validation: Verify the accuracy and integrity of datasets used for AI training and testing. Ensure that the data pipelines are functioning as expected.
  • Model Evaluation: Assist in evaluating AI models by comparing model outputs to expected results, analyzing errors, and suggesting improvements.
  • Collaboration: Work closely with cross-functional teams, including AI researchers, data scientists, and product managers, to understand product requirements and ensure that they are met.
  • Test Automation: Contribute to the development of automated test scripts and frameworks for AI model testing to improve efficiency and coverage.
  • Documentation: Maintain detailed and accurate documentation of test procedures, results, and any anomalies discovered during testing.
  • Continuous Improvement: Suggest and implement improvements in the testing processes to enhance the quality and reliability of AI products.

Qualifications:

  • Educational Background: Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field.
  • Basic Understanding of AI/ML: Familiarity with the basics of artificial intelligence and machine learning concepts.
  • Technical Skills: Experience with programming languages such as Python or Java. Familiarity with testing tools and frameworks is a plus.
  • Attention to Detail: Strong attention to detail and a passion for identifying and solving problems.
  • Analytical Thinking: Ability to analyze complex problems and think critically about potential issues and their impact on product quality.
  • Communication Skills: Good verbal and written communication skills. Ability to document and explain issues clearly to both technical and non-technical stakeholders.
  • Team Player: Willingness to work collaboratively in a fast-paced, team-oriented environment.
  • Eagerness to Learn: A proactive attitude towards learning and adapting to new challenges in the AI domain.

Labellerr is a AI assisted data annotation pipeline engine used by advanced AI teams building capabilities such as :

  • self driving for cars, boats, trucks
  • food quality analytics
  • waste sorting robots
  • pest or weed detection in agirculture
  • …..and many more such vision AI based capabilities including generative AI

How to apply for Labellerr Recruitment Drive 2024:-

  1. Click on the “Apply Here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before create an account.
  4. After registration, log in and fill in the application form with all necessary details.
  5. Submit all relevant documents, if requested ( e.g. resume, id proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.
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