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LXT

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About

LXT is a leading provider of AI training data solutions for global organizations. They offer a wide range of services, including data annotation, data collection, data evaluation, generative AI services, search & personalization, secure data processing, and transcription. They work across multiple modalities (audio, image, text, video) and languages, leveraging a global network of contributors. LXT helps businesses build high-quality datasets for training machine learning models and ensuring that AI/ML applications are accurate, ethical, and responsible. They also offer consulting services and a wealth of resources.

Platform
Web
Task
data annotation

Features

secure data processing

transcription

generative ai

data collection

data annotation

data evaluation

search & personalization

audio annotation

Job Opportunities

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LXT

Backend Engineer

LXT provides high-quality AI training data solutions, including data annotation, collection, evaluation, and generative AI services, to power global AI innovation.

engineeringhybridCairo, EGfull-time

Benefits:

  • Flexible work

  • Weekly payments

  • Rapid growth

  • Work from anywhere

  • Skill development

Education Requirements:

  • Bachelor’s Degree or equivalent experience

Experience Requirements:

  • 1-2 years of experience

  • 3-5 years of experience

  • 4-6 years of experience

Other Requirements:

  • Professional level written and spoken English

  • Familiarity with any of the cloud platforms (Azure, GCP or Amazon)

  • Familiarity with CI/CD, containerization, and container orchestration tools

  • Familiar with Agile project management methodologies

  • Familiarity with the OWASP Top 10 Web Security Vulnerabilities and their mitigation

Responsibilities:

  • Design, develop and test new products, while maintaining the existing ones

  • Stay up to date with the latest industry trends in software and cloud solutions

  • Ensure high code and design quality that fulfills business requirements and good design aspects (scalability, fault tolerance)

  • Design and implement solutions to protect against common security vulnerabilities

  • Directly involved with the Product team to understand Requirements

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Data Engineer

LXT provides high-quality AI training data solutions, including data annotation, collection, evaluation, and generative AI services, to power global AI innovation.

Benefits:

  • Flexible work

  • Weekly payments

  • Rapid growth

  • Work from anywhere

  • Skill development

Education Requirements:

  • Bachelor’s degree in computer science, Data Engineering, or a related field

Experience Requirements:

  • 1-3 years of hands-on experience in data pipeline design, data transformation, and data integration

Other Requirements:

  • Proficiency in programming languages such as Python, SQL, or Scala, and experience with data manipulation libraries and frameworks

  • Solid knowledge of data storage and database management systems, including relational and NoSQL databases

  • Familiarity with data visualization tools and techniques to facilitate data understanding and analysis

  • Experience with cloud-based data platforms, such as AWS, GCP, or Azure, is a plus

  • Solid understanding of data quality and data governance principles

Responsibilities:

  • Data Transformation and Integration

  • Data Manipulation

  • Data Quality Assurance

  • Data Pipeline Design and Development

  • Performance Optimization

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Machine Learning Engineer

LXT provides high-quality AI training data solutions, including data annotation, collection, evaluation, and generative AI services, to power global AI innovation.

Benefits:

  • Flexible work

  • Weekly payments

  • Rapid growth

  • Work from anywhere

  • Skill development

Education Requirements:

  • Bachelor's degree (or above) in computer science, Engineering, or a related field

Experience Requirements:

  • Proven professional experience as a Machine Learning Engineer, Data Scientist, or related role, with a focus on developing and deploying machine learning models

Other Requirements:

  • Strong programming skills in languages such as Python, R, or Java, with experience in data manipulation, analysis, and model development libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch)

  • Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures

  • Experience with data preprocessing techniques, feature engineering, and model evaluation

  • Proficiency in working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark)

  • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of deploying machine learning models to production

Responsibilities:

  • Work on the design, development, and implementation of machine learning models and algorithms to solve complex business problems

  • Collaborate with software engineers, and domain experts to gather requirements, define project goals, and identify data sources

  • Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare data for model training

  • Develop and implement scalable and efficient machine learning pipelines and workflows

  • Train, evaluate, and fine-tune machine learning models using state-of-the-art techniques and algorithms

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