Ai training - machine learning specialist Job at Prolific

AI Trainer – Machine Learning Specialist

We’re looking for AI Trainer – Machine Learning Specialists to help train and ev...

Location

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
A willingness to take our skills verification test to assess your suitability for our participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A willingness to self-declare your earnings, as our participants are self-employed
A Paypal account to receive payment from our clients

Job Responsibility

Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth

What we offer

Competitive pay rates
Flexible hours
Ability to work from home

AI Specialist

Fugro is a global leader in geodata solutions, operating at the forefront of dig...

Location

Netherlands , Nootdorp

Salary:

Not provided

Fugro

Expiration Date

Until further notice

Requirements

BSc degree in Computer Science, Data Science or a related field
A minimum of 3 years in AI model development and deployment
Certifications in AWS or Azure AI Fundamentals
Python for Data Science
Proficiency in Python and ML libraries
Understanding of data preparation and feature engineering
Basic knowledge of MLOps and Cloud platforms
Excellent English language skills, both written and oral

Job Responsibility

Build and train AI models using approved frameworks and datasets
Optimize models for performance and scalability
Validate outputs and ensure alignment with business requirements
Prepare and clean data for modelling activities
Integrate AI models into applications and workflows
Maintain data lineage and documentation
Ensure adherence to responsible AI principles and organisational policies
Work with the NextGen AI Lead to prioritise tasks and deliverables
Participate in knowledge sharing and continuous improvement activities
Collaborate with data engineers, IT teams, innovation groups and business stakeholders

What we offer

Competitive salary
29 holidays per year based on a fulltime employment (of which 4 are appointed by Fugro management) and the possibility to purchase 12 additional days
Extensive career & training opportunities both nationally and internationally
Flexible working hours and the ability to work from home in accordance with your manager and corporate policies
Commuting allowance
Modern pension scheme
Collective health insurance
Possibility to register with our corporate fitness plan
Coaching options through our EAP (Employee Assistance Program)

Fulltime

Software Engineer, AI Specialist - Monetization (Technical Leadership)

Meta is seeking a distinguished Software Engineer with deep AI specialization to...

Location

United States , Sunnyvale

Salary:

219000.00 - 301000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12+ years of experience in software engineering with a focus on AI, machine learning systems, or applied deep learning in production environments
Experience architecting and delivering large-scale AI or machine learning systems — including training infrastructure, model serving, ranking, recommendation, or foundation model pipelines — that operate at significant scale
Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals
Experience identifying and resolving systemic engineering issues that span multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures
Experience communicating complex AI system designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership

Job Responsibility

Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale
Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability
Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science
Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy
Lead the design and implementation of AI systems where correctness, reliability, and performance are rigorously proven, establishing invariants and testing frameworks that prevent entire categories of model and system failures
Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across engineering teams to exponentially increase organizational throughput
Collaborate with research scientists and applied researchers to translate novel AI techniques from prototype into production systems that deliver measurable improvements to key product metrics
Mentor engineers across the organization by providing customized technical coaching, leading engineering programs such as architecture reviews and AI craft initiatives, and establishing a culture of rigor and thoroughness
Partner with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards, and set the bar for responsible AI development practices across the business domain
Define new metrics and data-driven decision-making principles for long-term, cross-team AI initiatives, connecting technical outcomes to organization-level priorities and business impact

What we offer

bonus
equity
benefits

Fulltime

AI Specialist - Product and Applied Research

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...

Location

United States , Menlo Park

Salary:

257000.00 USD / Year ▼

Google Data and AI Specialist

We are looking for a Data & AI Specialist to join BIP’s Google Tech Hub, working...

Location

Spain , Madrid

Salary:

Not provided

Business Integration Partners

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Engineering, Data Science, Computer Science, Statistics, Mathematics, or related STEM disciplines
At least 3 years of experience in Data Science roles or software development focused on data
Advanced knowledge of Python and experience in software development in at least one language among Python, Scala, Java, or Node.js
Advanced knowledge of SQL for querying, managing, and modeling data in both transactional and analytical contexts, including ETL activities
Proven experience applying AI solutions (including Generative AI) and developing advanced AI models
Strong knowledge of Machine Learning and Generative AI concepts, algorithms, and methodologies
Expertise in Context Engineering (Prompt Engineering) to optimize the integration of AI models (LLMs) into software systems
Good knowledge of Python libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch
Experience with Google Cloud Platform, particularly Vertex AI (training, fine-tuning, and deployment), BigQuery (large-scale data analysis), and BigQuery ML (AI model integration into analytics workflows)
Experience in designing software solutions and implementing algorithms and data structures

Job Responsibility

Design and develop advanced models to understand and predict business dynamics, optimizing data-driven strategies
Design scalable and distributed Artificial Intelligence (AI) solutions for specific use cases
Collaborate closely with professionals such as Cloud & Data Architects, Data Engineers, and Business Analysts to develop Generative AI and Machine Learning solutions, bringing insights into production through scalable architectures

What we offer

Work on innovative projects for leading brands in retail, telco, banking, and travel sectors
Opportunity to train on Google Cloud technologies and advanced AI & Martech methodologies
Part of a young and growing community that values experimentation and continuous learning
Directly contribute to the evolution of AI-driven solutions shaping the marketing of the future

Fulltime

Data Engineer and AI Specialist

Location

India , Tirupati, Bangalore

Salary:

Not provided

Sithafal

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in an Information Technology or related program
Previous professional experience as a data engineer or in a similar role
Prior hands-on experience with Druid AI platform
Prior work experience in designing and building complex machine learning systems for natural language processing applications
Advanced familiarity with Kubernetes (AKS) and NGINX ingress controller for Kubernetes
Advanced knowledge in Python or another programming language and at least one machine learning framework
Prior experience in developing training materials and providing training to the user groups
Technical expertise with data models, data mining, and segmentation techniques
Ability to obtain Public Trust Clearance

Job Responsibility

Integration of AI Chatbot system
Updating knowledge articles within the AI and ability to train the solution
Capability to employ a variety of qualitative and quantitative analysis techniques to continually improve the user experience
Consistent collaboration with cross-functional teams and stakeholders
Ability to improve the scalability & performance of machine learning systems that handle high loads
Ability to analyze and interpret raw data
Developing and maintaining datasets
Improving data quality and efficiency
Prior hands-on experience working with Druid AI platform
Previous experience maintaining and enhancing Druid Artificial Intelligence (AI) Chatbot capability within an application

Fulltime

AI Specialist - Product and Applied Research

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...

Location

United States , Bellevue

Salary:

257000.00 USD / Year ▼

Airfield Operations Specialist AI Trainer

Join our team at the forefront of AI innovation as an Airfield Operations Specia...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Hands-on experience as an Airfield Operations Specialist, Airport Operations Officer, Ramp Controller, or similar role
Solid understanding of runway safety, aircraft movement, and FAA/ICAO compliance requirements
Familiar with airport operations systems, including NOTAMs, ARFF coordination, FOD prevention, and airfield inspections
Exceptional written and verbal communication skills, with an ability to explain complex technical topics clearly
Ability to work independently and manage tasks in a structured, remote annotation or review setting
Detail-oriented with a passion for accuracy and regulatory compliance
Proactive problem-solving skills and commitment to continuous process improvement

Job Responsibility

Review and assess AI-generated content focused on airfield operations, logistics, and ground safety
Deliver expert feedback and corrections to improve the accuracy and relevance of AI responses
Ensure all AI outputs are compliant with current regulatory standards, safety protocols, and operational procedures
Create, validate, and update training content covering runway usage, aircraft movement, emergency protocols, weather, and more
Collaborate with machine learning engineers and content specialists to enhance annotation guidelines and data quality
Identify and address outdated practices, incorrect assumptions, or irrelevant material in AI-generated outputs
Champion best practices in airfield management and safety within a remote, innovative work environment

Fulltime

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Ai training - machine learning specialist

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