Intern, Service Operations (BPO)

Job Description

Title: Intern, Service Operations (BPO)

Company Name: Quantigo AI

Vacancy: --

Age: Na

Job Location: Dhaka (Uttara Sector 3)

Salary: Tk. 7000 (Monthly)

Experience:

Published: 2024-05-16

Application Deadline: 2024-05-31

Education:

• Minimum of Bachelor’s, preferably from a Business background.

• Proficiency in Microsoft Office and G-Suite.

• Strong communication skills in English.

• Highly organized, motivated, and a team player.

• Strong attention to detail and problem-solving skills.

• Able to work independently and as part of a team.

Internship with an opportunity to be a full-time employee.

Bridging human excellence and machine efficiency, Quantigo AI provides high-quality training data at scale through powerful annotation technology and a dedicated service team. An end-to-end solution for machine learning needs, it empowers AI companies to achieve accelerated, scalable results—without sacrificing precision or quality.

Founded in 2017, Quantigo AI quickly became established as a leading start-up in the space, advancing clients in the autonomous driving, retail, security, agriculture, sports, construction, and geospatial sectors, among others. Today, it supports a large network of clients across 18 countries and has plans to expand to new markets.

Through all its growth, Quantigo AI has remained committed to transparency, fair pricing, personalized service, and quality output. Now more than ever, Quantigo AI is honoring its clear vision, determined to pave the way to a better future through innovation

In preparation for Quantigo AI’s new phase of growth, we are looking to hire an Intern, Service Operations (BPO) to join our team. The incumbent will be responsible for reviewing the annotator’s work and ensuring quality and identifying their strengths and weaknesses. They need to understand the project guidelines and the requirements clearly.

• Analyze and review Annotators’ work output against guidelines/standards and provide feedback.

• Identify Annotators` strengths and Weaknesses. Provide feedback to the Delivery lead on identified areas that individual members of the team need to improve on for coaching.

• Identify guideline ambiguities and edge cases for each project and communicate them with the Delivery Lead and Project Management team accordingly.

• Collaborate with the management team to ensure that best quality assurance and annotation standards are revised and updated where needed.

• Keep an up-to-date record of individual Annotators’ quality performance for use in performance reviews.

• Participate in team briefings to understand the project guidelines and requirements.

• Prepare the Quality Assurance process as per the project requirements.

• Perform ad-hoc daily tasks when necessary. Tasks include annotations, training, onboarding new annotators, etc.

Working days & hours (6 days a week):

# Monday - Friday: 09:30 am - 06:30 pm [Work from office]

# Sunday : 09:30 am - 06:30 pm [Work from home]

Start Date: Immediately

Industry: Data Processing, Artificial Intelligence