ai & automation engineer, light

graduate in training program (git), business intelligence Jobs in Cairo

senior full stack developer, ai4all Jobs in Cairo

senior full stack developer, ai4all

senior ui/ux designer, ai4all Jobs in Cairo

senior ui/ux designer, ai4all

ai / emerging tech security analyst Jobs in Cairo

ai / emerging tech security analyst

entrepreneurship instructor ai training

Alignerr

<div>
 
 About The Role
 
 
 
 We're looking for experienced entrepreneurship educators and business experts to help shape how AI understands startups, innovation, and business planning. Your real-world expertise will directly influence the quality and accuracy of AI systems used by millions &mdash; making a meaningful impact on how the next generation of AI thinks about business.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated startup and entrepreneurship scenarios for accuracy and practical relevance
 </li>
 <li>
 Assess business models, assumptions, and go-to-market logic against real-world standards
 </li>
 <li>
 Identify unrealistic financial projections, flawed reasoning, or unsound strategic advice
 </li>
 <li>
 Provide clear, structured feedback that improves the quality of AI training content
 </li>
 <li>
 Work independently and asynchronously on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching entrepreneurship, small business, or startup strategy
 </li>
 <li>
 Strong grasp of business model design and early-stage decision-making
 </li>
 <li>
 Skilled at critically evaluating written business plans, pitch decks, and strategic scenarios
 </li>
 <li>
 Comfortable delivering applied, practical feedback grounded in real-world experience
 </li>
 <li>
 Self-motivated and reliable when working independently on deadline-driven tasks
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 MBA or graduate degree with an entrepreneurship focus
 </li>
 <li>
 Experience as a founder, operator, or startup advisor
 </li>
 <li>
 Familiarity with AI systems or content evaluation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Contribute to meaningful work that shapes how AI understands the world of business
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Entrepreneurship Instructor (AI Training)

<div>
 
 Econometrics Instructor (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and communicates complex econometric concepts &mdash; making a real impact on the future of AI in economics and data science.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and validate econometric questions, models, and explanations used in AI training
 </li>
 <li>
 Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
 </li>
 <li>
 Provide structured, expert feedback to improve AI reasoning quality and clarity
 </li>
 <li>
 Apply your real-world teaching experience to identify errors, misconceptions, and edge cases
 </li>
 <li>
 Work independently and asynchronously on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching econometrics or quantitative economics
 </li>
 <li>
 Strong command of regression analysis, causal inference, and statistical methods
 </li>
 <li>
 Able to clearly explain and rigorously evaluate quantitative reasoning
 </li>
 <li>
 Comfortable reviewing and critiquing structured technical content
 </li>
 <li>
 Detail-oriented, self-motivated, and reliable
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master's or PhD in Economics, Statistics, or a related field
 </li>
 <li>
 Hands-on experience with statistical tools such as R, Stata, or Python
 </li>
 <li>
 Familiarity with AI systems, model evaluation, or data annotation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Contribute to meaningful work that shapes how AI reasons about economics and data
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Econometrics Instructor

QHSSE PLATFORM

<div>
 
 
 Company Description
 
 
 
 QHSSE PLATFORM is the MEA region's pioneering Tech-QHSSE Consultancy &amp; Training firm, leading advancements in the HSE industry with innovative solutions and technologies. Operating across 15+ countries with a team of seasoned experts, the organization provides tailored services in consultancy, training, fire protection, digital transformation, and engineering. As the first in the region to implement technologies like AR, VR, AI, and IoT for HSE, QHSSE PLATFORM has delivered over 15,000 projects to 4,000+ global clients. Accredited by esteemed international and local bodies, the firm pioneers immersive, regulation-compliant HSE training, supported by 20+ partners like SiteDocs and NFPA.
 
 
 
 
 
 Job Overview
 
 
 QHSSE Platform is currently seeking a
 
 Freelance First Aid, CPR &amp; AED Instructor
 
 to support the delivery of a professional training program for one of our clients in Egypt.
 
 
 The ideal candidate must be a
 
 qualified trainer
 
 with valid certifications and proven ability to deliver
 
 engaging, high-quality training sessions in English
 
 .
 
 
 This opportunity is ideal for professionals with strong instructor presence, excellent communication skills, and hands-on experience in First Aid and emergency response training.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Deliver
 
 First Aid, CPR, and AED training sessions
 
 in a professional and interactive manner
 </li>
 <li>
 Ensure all training content is delivered in line with
 
 recognized training standards and best practices
 
 </li>
 <li>
 Facilitate learner participation and maintain an engaging classroom environment
 </li>
 <li>
 Assess participant understanding and practical performance during training
 </li>
 <li>
 Support the successful execution of the training program in line with client expectations
 </li>
 <li>
 Represent
 
 QHSSE Platform
 
 professionally during all training-related activities
 </li>
 <li>
 Submit any required attendance records, feedback forms, or training documentation if requested
 </li>
 </ul>
 
 Mandatory Requirements
 
 
 Applicants
 
 must
 
 meet the following requirements:
 
 <ul>
 <li>
 Valid
 
 First Aid Certification
 
 from a recognized provider
 </li>
 <li>
 Valid
 
 CPR &amp; AED Certification
 
 </li>
 <li>
 Valid
 
 First Aid/CPR Instructor Certification
 
 </li>
 <li>
 
 (Trainer Level is mandatory &ndash; participant/attendance certification alone will not be accepted)
 
 </li>
 <li>
 Ability to deliver the full training
 
 fluently in English
 
 </li>
 <li>
 Strong presentation, facilitation, and communication skills
 </li>
 <li>
 Professional appearance and ability to interact confidently with corporate participants
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 The following will be considered an advantage:
 
 <ul>
 <li>
 Previous experience delivering
 
 First Aid / CPR / AED training
 
 </li>
 <li>
 Experience delivering training to
 
 corporate clients or organizations
 
 </li>
 <li>
 Previous experience in
 
 emergency response
 
 ,
 
 health &amp; safety
 
 , or
 
 medical-related training
 
 </li>
 <li>
 Experience delivering training fully in
 
 English
 
 </li>
 <li>
 ALS / advanced emergency care related exposure is a plus
 </li>
 </ul>
 
 Work Arrangement
 
 <ul>
 <li>
 
 Freelance / Project-Based
 
 </li>
 <li>
 
 On-site delivery
 
 </li>
 <li>
 Training assignments will be based on project requirements and client scheduling&nbsp;
 </li>
 </ul>
 
 
 
</div>

First Aid & CPR Instructor

Air Arabia

<div>
 
 Job Purpose
 
 
 
 To design and deliver training courses to Cabin Crew staff on the various Standard Operating Procedures in accordance with Air Arabia approved quality standards and as per ECAA set measures and regulations. Ensures conformity in delivery of training whilst promoting company&rsquo;s culture and corporate image.
 
 
 
 Key Result Responsibilities
 
 
 
 <ul>
 <li>
 Designs and delivers to CC effective and timely training programs to meet business and operational needs as well as approved safety and quality standards in accordance with the Air Arabia CSPM provisions ensuring corrective action is taken on Cabin Crew default.
 </li>
 <li>
 Provides mandatory Initial, Conversion/Differences, Recurrent, and Refresher Training to Cabin Crew and Pilots, supervises the progress of their performance and generates reports to management accordingly.
 </li>
 <li>
 Ensures training programs cover both theoretical and practical aspects to include but not limited to: Conduct of Passengers, Fire-Fighting, Safety Procedures, Emergency and Catering Equipment, Layout of Aircraft types, as well as Aircraft Visits/
 </li>
 <li>
 Trains Cabin Crew on the post-flight procedures such as completion of documentation and occurrence reports, as well as handover/takeover procedures to ensure orderly and complete procedures are being carried out.
 </li>
 <li>
 Conducts &ldquo;Leadership&rdquo; training courses, One-To-One coaching sessions to Senior Cabin Crew, and provides continuous guidance and support to the senior cabin staff to inspire them achieve best results in their area.
 </li>
 <li>
 Assists in the evaluation of the Cabin Crew competency and readiness to operate; maintains a record of licenses renewal dates to ensure recertification before expiry; maintains records of certificates accordingly.
 </li>
 <li>
 Ensures the Cabin Security Procedures Manual (CSPM) are regularly updated, communicated to Cabin Crew and included in the training courses to ensure abidance by regulations and procedures set by the CAA and other related entities.
 </li>
 <li>
 Drafts, checks and approves the issuance of safety bulletins ensuring Cabin Crew are advised and updated with content and fully understand the implications.
 </li>
 <li>
 Supports the training team through the internal/external audit requirements and checks, ensures availability, update, and compliance of function-related documents, reports, attendance sheets and records with the approved standards.
 </li>
 <li>
 Contributes to the creation and updating of questions databank to be used in the Cabin Crew selection exams. Ensures safety and readiness of facilities, equipment, tools as well as tests and results.
 </li>
 <li>
 Supports the new joiners in the Induction Program on the (LMS); provides guidance and replies to enquiries on content as necessary; attends briefing sessions to evaluate Cabin Crew knowledge.
 </li>
 <li>
 Supports other hubs in delivery of training programs as and when required; conducts training courses to &ldquo;Third Parties&rdquo; as per approved SLAs and contracts when and as needed.
 </li>
 <li>
 Operates as Cabin Supervisor as and when required by scheduling; carries out observational flights as a checker when required.
 </li>
 <li>
 Updates both cabin safety and customer service training syllabus and programs.
 
 
 </li>
 </ul>
 
 Qualifications (Academic, Training, Languages)
 
 
 
 <ul>
 <li>
 Bachelor Degree in Management, Education/ Diploma or equivalent is preferred for this role.
 </li>
 <li>
 Related training certificates and training courses such as &ldquo;Train the Trainer&rdquo;, &ldquo;Instructive Training&rdquo; . " Professional Skills "
 </li>
 <li>
 Appropriate corresponding license ( Valid ECAA Cabin Crew Instructor and Cabin Crew Examiner License ) is preferable.
 </li>
 <li>
 Audio Visual equipment management skills are required.
 </li>
 <li>
 Proficient in Microsoft Office, Internet and Web Search.
 </li>
 <li>
 Fluent in English Language.
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 <ul>
 <li>
 Active Designated Cabin Crew Examiner, Instructors with 4+ years of experience in Aviation are most welcome to apply.
 </li>
 <li>
 Familiar with ECAA rules and regulations pertaining to cabin services, licensing and working procedures.
 </li>
 <li>
 Previous experience as a Cabin Crew Instructor and Examiner is essential.
 </li>
 <li>
 Must have conducted training on Airline Safety.
 </li>
 <li>
 Experienced in planning, designing and delivering training courses, preferably to Cabin Crew.
 </li>
 <li>
 Ability to produce, interpret, assimilate data and express ideas and concepts clearly.
 </li>
 <li>
 Employs a balance of technical expertise, and interpersonal relations to execute new initiatives that support company&rsquo;s objectives.
 </li>
 <li>
 Has very good planning and time management skills even in challenging environments.
 </li>
 <li>
 Cost-oriented, possesses effective problem solving and decision making skills.
 </li>
 <li>
 Demonstrates exceptional work habits, with high accuracy and attention to details.
 </li>
 <li>
 Working exposure to internal/external audit practices
 </li>
 </ul>
</div>

Cabin Crew Examiner - Egypt

Integrant, Inc.

<div>
 Integrant is looking for game changers to join our team as " Lead AI Platform".
 
 
 The Lead AI Platform Engineer is responsible for bridging AI workloads with production-grade infrastructure, with a strong focus on NVIDIA AI stack, enabling high-performance, scalable, and optimized AI systems.
 
 
 This role focuses on model optimization, runtime efficiency, and GPU utilization, ensuring that AI workloads are production-ready, cost-efficient, and performant across enterprise environments.
 
 
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Translate AI/ML workloads into optimized infrastructure and deployment strategies
 </li>
 <li>
 Optimize model performance across GPU environments (latency, throughput, memory utilization)
 </li>
 <li>
 Design and implement inference and training pipelines using NVIDIA stack tools (TensorRT, Triton, NIM)
 </li>
 <li>
 Convert and optimize models across frameworks (PyTorch &rarr; ONNX &rarr; TensorRT)
 </li>
 <li>
 Analyze and resolve performance bottlenecks using profiling tools (GPU, memory, network)
 </li>
 <li>
 Improve GPU utilization and scheduling efficiency across clusters
 </li>
 <li>
 Design scalable distributed training and inference architectures
 </li>
 <li>
 Work closely with customers to define AI infrastructure strategies and deployment models
 </li>
 <li>
 Support production deployments including monitoring, rollback, and performance validation
 </li>
 <li>
 Conduct applied research to improve model efficiency and infrastructure utilization
 </li>
 <li>
 Mentor team members on AI infrastructure, optimization, and GPU systems
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of experience in AI systems
 </li>
 <li>
 8+ years of experience in ML systems, HPC and AI infrastructure
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Strong experience with GPU-based AI workloads and performance optimization
 </li>
 <li>
 Deep understanding of model optimization techniques (quantization, pruning, batching)
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 PyTorch
 </li>
 <li>
 ONNX / ONNX Runtime
 </li>
 <li>
 TensorRT / TensorRT-LLM
 </li>
 <li>
 Triton Inference Server
 </li>
 <li>
 Knowledge of CUDA, cuDNN, and GPU architecture fundamentals
 </li>
 <li>
 Experience with distributed systems (multi-GPU / multi-node)
 </li>
 <li>
 Familiarity with:
 </li>
 <li>
 NCCL communication
 </li>
 <li>
 NVLink / InfiniBand
 </li>
 <li>
 Kubernetes or Slurm for orchestration
 </li>
 <li>
 Experience deploying AI models into production environments
 </li>
 <li>
 Ability to analyze system bottlenecks (compute, memory, network)
 </li>
 <li>
 Experience with profiling tools (Nsight, TensorRT profiler, etc.)
 </li>
 <li>
 Knowledge of cost optimization strategies for GPU workloads
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NVIDIA NIM and NGC ecosystem
 </li>
 <li>
 Exposure to Megatron-LM, NeMo, or large-scale LLM training/inference
 </li>
 <li>
 Experience with LLM optimization techniques (KV cache, batching strategies)
 </li>
 <li>
 Familiarity with MLOps practices and CI/CD for AI systems
 </li>
 <li>
 Experience in customer-facing architecture or consulting roles
 </li>
 <li>
 Familiarity with hybrid cloud / on-prem HPC environments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Lead AI Platform

<div>
 
 Governance, Risk &amp; Compliance (GRC) Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Right now, we're looking for experienced GRC professionals to help us develop high-quality datasets and evaluation frameworks for security and risk reasoning.
 
 
 Your real-world expertise in compliance programs, security policies, audits, and risk management will directly shape how AI understands and reasons about these critical domains. This is a rare opportunity to apply your professional knowledge to one of the most consequential technology challenges of our time &mdash; on your own schedule, from anywhere in the world.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and analyze security policies, controls, and procedures for accuracy and completeness
 </li>
 <li>
 Classify and evaluate real-world compliance scenarios across frameworks such as SOC 2, ISO 27001, and NIST
 </li>
 <li>
 Assess risk statements, control mappings, and audit-style documentation
 </li>
 <li>
 Generate and validate training and evaluation data used to improve AI reasoning in GRC contexts
 </li>
 <li>
 Provide structured, precise written feedback that helps AI systems learn from practitioner-level expertise
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 2+ years of hands-on experience in GRC, compliance, risk management, or information security
 </li>
 <li>
 Familiar with one or more major frameworks &mdash; SOC 2, ISO 27001, NIST CSF, PCI-DSS, or similar
 </li>
 <li>
 Comfortable reading, interpreting, and critiquing policy and audit-style documentation
 </li>
 <li>
 Detail-oriented with strong written reasoning and communication skills
 </li>
 <li>
 Self-motivated and reliable when working independently on asynchronous tasks
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Prior experience with data annotation, data quality review, or AI evaluation workflows
 </li>
 <li>
 Background in internal audit, third-party risk management, or security consulting
 </li>
 <li>
 Familiarity with AI safety or responsible AI concepts
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work directly on frontier AI systems alongside top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Make a meaningful impact by teaching AI to reason about security and compliance the way real practitioners do
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Governance, Risk & Compliance (GRC) Analyst

<div>
 
 Natural Resource Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 Your expertise in natural resource conservation doesn't just belong in the field &mdash; it belongs at the frontier of AI development. We're looking for experienced conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.
 
 
 This is a fully remote, flexible contract role where your scientific knowledge directly shapes how AI understands and communicates critical environmental topics. If you care about the accuracy of conservation science and want to contribute to cutting-edge technology, this is your opportunity.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review conservation science questions and real-world scenarios used in AI training datasets
 </li>
 <li>
 Evaluate the scientific accuracy of AI-generated content covering ecosystems, land use, soil health, water systems, and biodiversity
 </li>
 <li>
 Assess whether AI recommendations align with established, real-world conservation practices
 </li>
 <li>
 Provide clear, structured feedback that improves AI scientific reasoning and output quality
 </li>
 <li>
 Work independently and asynchronously &mdash; on your own schedule, at your own pace
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of professional experience in natural resource conservation, environmental science, or a related field
 </li>
 <li>
 Strong working knowledge of ecosystems, land management principles, and conservation practices
 </li>
 <li>
 Able to critically evaluate scientific reasoning and applied recommendations with clarity and precision
 </li>
 <li>
 Comfortable reviewing structured written content and providing detailed, actionable feedback
 </li>
 <li>
 Self-motivated and reliable with the ability to meet project deadlines independently
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline
 </li>
 <li>
 Hands-on fieldwork or applied conservation project experience
 </li>
 <li>
 Familiarity with AI systems, content evaluation, or data annotation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Make a real impact &mdash; your scientific expertise directly improves how AI handles environmental and conservation topics
 </li>
 <li>
 Work on cutting-edge AI projects with top research organizations pushing the boundaries of what AI can do
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from wherever you are
 </li>
 <li>
 Freelance perks &mdash; autonomy, variety, and the opportunity to collaborate with a global network of subject matter experts
 </li>
 <li>
 Potential for ongoing work &mdash; strong contributors are considered for contract extensions and additional projects
 </li>
 </ul>
</div>

Natural Resource Conservation Scientist

Explore 354+ Entrepreneurship instructor ai training in Cairo this April. Find roles across top companies and apply now to boost your career.