Fraud Monitoring and AI Data Labeling Specialist

Lanck Telecom

Fraud Monitoring and AI Data Labeling Specialist

Описание вакансии

Lanck Telecom team has been working on global telecommunication market for more than 20 years. Our main projects are related to the development of solutions for international operators, voice data and SMS services. And also we create unique niche products for our clients. Lanck Telecom is a distributed team of professionals, using modern technology stack and all actual tools for effective work.

We are looking for an employee to join the team for operational monitoring and analysis of fraud (fraud on telecommunications traffic). The fight against fraud is one of the most relevant areas in the field of telecommunications, which requires good analytical training and fast decision-making.

What you will need to do:

  • Monitor and analyze cases of potential fraud on company voice traffic;
  • Data markup (scoring) for further training of the antifraud neural network;
  • Identification of errors in the antifraud system, as well as finding ways to improve it;
  • Conducting test calls (and working with special software) to identify situations of fraud on international traffic;
  • Working with international telecom operators through messengers, e-mail and telephone communication.

Requirements:

  • English (written and oral) at intermediate level;
  • Analytical skills, patience, responsibility, diligence, attentiveness, teamwork and ability to work independently;
  • A confident PC user;
  • Ability to work on a shift 12-hour schedule (day and night shifts) after the internship.


Your advantage will be:

  • Technical education;
  • Knowledge of statistics;
  • Knowledge of additional foreign languages (French, Spanish, etc.).

We offer:

  • Paid internship about 3 months, work schedule 5/2;
  • Salary for the internship period: 500 dollars, then depending on the number of shifts worked;
  • Work schedule after the internship - shift: 14 shifts of 12 hours (night and day shifts), the possibility of remote work;
  • Support for professional development (participation fees in training conferences, webinars);
  • Medical insurance;
  • Exciting corporate events.

Навыки
  • Английский язык
  • Analytical skills
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