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Tasq.ai

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About

Tasq.ai is a platform that orchestrates the entire machine learning (ML) and Generative AI lifecycle. It combines world-class models with seamless human guidance, offering solutions for data curation and labeling, model fine-tuning, accuracy improvement, and continuous model improvement and monitoring. Their services include generative and synthetic data validation, model validation and tuning, LLM comparison, computer vision, video and image annotations, and transcription. Tasq.ai emphasizes responsible AI and utilizes a global workforce for unbiased results. They cater to various industries, including e-commerce, retail, and agriculture.

Platform
Web
Task
ai solutions

Features

computer vision

foundation models

image annotations

video annotations

llm comparison

model validation & tuning

generative & synthetic data validation

transcription(ocr)

Job Opportunities

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Tasq.ai

Sales Automation Specialist

Tasq.ai streamlines the AI lifecycle by combining human-guided insights and world-class models for unparalleled accuracy and flexibility.

saleshybridpart-time

Benefits:

  • Flexible working hours to accommodate your university schedule.

  • Valuable hands-on experience in the field of sales automation.

  • Opportunity to work with a dynamic and collaborative team

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Full-Stack Developer

Tasq.ai streamlines the AI lifecycle by combining human-guided insights and world-class models for unparalleled accuracy and flexibility.

Benefits:

  • Flexible working hours to accommodate your university schedule.

  • Valuable hands-on experience in the field of sales automation.

  • Opportunity to work with a dynamic and collaborative team

Experience Requirements:

  • 4+ years of experience as a full-stack software developer

  • 3+ years of experience with Python

  • 2+ years experience with JavaScript, React

  • Django, Flask or similar frameworks

  • Experience with PostgreSQL, knowledge of indexes and query optimization

Other Requirements:

  • Comfortable working in Mac/Linux environment

  • Experience with Kubernetes

  • Experience Working with Docker

  • Experience with cloud AWS or similar

  • Passion for learning new technologies and applying them to make a difference.

  • Can-do approach.

  • Strong written and verbal communication skills in English and Hebrew

Responsibilities:

  • take a major part in software designs, development, cross teams integration and the deployment of features

  • work closely with project managers, product owners, and other stakeholders to ensure that projects are delivered on time and to the highest quality standards

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Customer Success Manager

Tasq.ai streamlines the AI lifecycle by combining human-guided insights and world-class models for unparalleled accuracy and flexibility.

Benefits:

  • Flexible working hours to accommodate your university schedule.

  • Valuable hands-on experience in the field of sales automation.

  • Opportunity to work with a dynamic and collaborative team

Experience Requirements:

  • Minimum 3 years of experience as an Enterprise Account Manager/Customer Success Manager in a tech company.

  • Prior experience in a B2B SaaS company.

  • Strong analytical skills and technical proficiency, with a data-driven approach.

  • Exceptional written and verbal communication skills in English.

  • Previous exposure to or theoretical knowledge in AI, data management, machine learning, labeling, and computer vision is highly advantageous

Other Requirements:

  • Detail-oriented and hands-on with a keen ability to grasp the bigger picture.

  • Familiarity with customer success metrics and tools

Responsibilities:

  • Act as the primary point of contact for clients, proactively addressing their needs and resolving issues in a timely manner.

  • Oversee project execution to ensure adherence to budget, timelines, and quality standards.

  • Continuously refine customer success processes and metrics to enhance satisfaction and retention.

  • Identify opportunities for optimizing project delivery processes and methodologies through post-project reviews, data analysis, and recommendations for improvement.

  • Monitor client usage and engagement, taking proactive measures to enhance adoption and satisfaction. Facilitate onboarding, training, and ongoing support to ensure clients effectively utilize our offerings. Collaborate closely with the product team to relay client feedback and identify areas for product/service enhancement. Manage client renewals to drive high retention rates. Spearhead quality management initiatives by defining and monitoring quality metrics, conducting reviews, and addressing quality issues promptly

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