environmental management scientist (ai training)

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associate engineering manager Jobs in Cairo

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environmental management scientist (ai training) Jobs in Cairo

environmental specialist

environmental management scientist ai training

Alignerr

<div>
 
 About The Role
 
 
 
 We&rsquo;re looking for environmental management professionals to help improve AI systems trained on sustainability, land-use planning, and environmental decision-making.
 
 
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 Organization: Alignerr (Powered by Labelbox)
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 Location: Remote
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 Type: Hourly / Task-based Contract
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 Compensation: $30-55 /hour
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 Commitment: 10-40 hours/week
 
 
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 </ul>
 
 What You&rsquo;ll Do
 
 
 
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 Review environmental management scenarios and analyses used in AI training.
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 Evaluate reasoning related to sustainability, impact mitigation, and resource planning.
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 Identify gaps between theory and real-world environmental practice.
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 Provide structured feedback to improve clarity and applicability.
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 Work independently and asynchronously to meet project deadlines.
 
 
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 </ul>
 
 Who You Are
 
 
 
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 3+ years of experience in environmental management or conservation roles.
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 Strong understanding of sustainability frameworks and environmental planning.
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 Able to critically assess written environmental analyses.
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 Comfortable providing detailed, structured feedback.
 
 
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 </ul>
 
 Nice to Have
 
 
 
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 Master&rsquo;s degree in Environmental Management or related field.
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 Experience with environmental policy or regulatory frameworks.
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 Familiarity with AI or content evaluation workflows.
 
 
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 </ul>
 
 Why Join Us
 
 
 
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 Competitive pay and flexible remote work.
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 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
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 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
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 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Environmental Management Scientist (AI Training)

<div>
 
 Natural Resource Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.
 
 
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 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
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 <li>
 Review conservation science questions and scenarios used in AI training.
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 Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
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 Assess whether AI-generated recommendations reflect real-world conservation practices.
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 Provide structured feedback to improve scientific reasoning and outputs.
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 Work independently and asynchronously to meet project deadlines.
 
 
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 </ul>
 
 Who You Are
 
 
 
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 3+ years of professional experience in natural resource conservation or environmental science.
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 Strong understanding of ecosystems, land management, and conservation principles.
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 Able to clearly evaluate scientific reasoning and applied recommendations.
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 Comfortable reviewing structured written content and providing detailed feedback.
 
 
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 </ul>
 
 Nice to Have
 
 
 
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 Master&rsquo;s degree or PhD in Natural Resources, Environmental Science, or related field.
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 Fieldwork or applied conservation experience.
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 Familiarity with AI or content evaluation workflows.
 
 
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 </ul>
 
 Why Join Us
 
 
 
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 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Natural Resource Conservation Scientist

<div>
 
 Soil and Water Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking soil and water conservation scientists to help evaluate AI systems trained on sustainable land and water management practices.
 
 
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 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review soil and water conservation scenarios used in AI training.
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 <li>
 Assess accuracy of content related to erosion control, watershed management, and soil health.
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 Identify flawed assumptions or impractical recommendations.
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 Provide structured feedback to improve scientific rigor and clarity.
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 Work independently and asynchronously to meet project deadlines.
 
 
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 </ul>
 
 Who You Are
 
 
 
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 3+ years of experience in soil science, hydrology, or conservation planning.
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 Strong understanding of soil processes, water systems, and conservation techniques.
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 Able to evaluate applied environmental science reasoning.
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 Comfortable reviewing technical written content.
 
 
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 </ul>
 
 Nice to Have
 
 
 
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 Graduate degree in Soil Science, Hydrology, or related field.
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 Experience with field assessments or conservation planning tools.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Soil and Water Conservation Scientist

<div>
 
 Wildlife and Habitat Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking wildlife and habitat conservation scientists to help evaluate AI systems trained on biodiversity protection and ecosystem management.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review wildlife and habitat conservation scenarios used in AI training.
 </li>
 <li>
 Assess accuracy of ecological reasoning and conservation strategies.
 </li>
 <li>
 Identify unrealistic assumptions or misapplied conservation methods.
 </li>
 <li>
 Provide structured feedback to improve ecological validity.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in wildlife biology, ecology, or habitat conservation.
 </li>
 <li>
 Strong understanding of biodiversity and ecosystem management.
 </li>
 <li>
 Able to evaluate applied ecological reasoning in written form.
 </li>
 <li>
 Comfortable reviewing structured scientific content.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Ecology, Wildlife Biology, or related field.
 </li>
 <li>
 Field research or conservation program experience.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Wildlife and Habitat Conservation Scientist

SME Careers

<div>
 As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, directly helping to improve the world&rsquo;s premier AI models.
 
 
 Key Responsibilities
 
 
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 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
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 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
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 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 
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 </ul>
 
 Your Profile
 
 
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 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
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 Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
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 Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
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 Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
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 Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
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 Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
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 Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
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 Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
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 Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
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 Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
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 </ul>
</div>

R Engineer

PepsiCo

<div>
 
 Overview
 
 
 
 PepsiCo is a leading food enterprise sourcing a diverse range of plant raw materials, including potatoes, small grains, corn, and various fruit and vegetable crops. We are seeking an experienced variety and agronomic assessment scientist to lead our potato variety development efforts. This role is responsible for recommending optimal agronomic and agritech solutions to ensure high-performing, quality potatoes for supply chain continuity. By driving internal research and fostering external partnerships, the scientist will deliver actionable insights on the best varieties to support PepsiCo&rsquo;s sustainable agriculture goals and address key business challenges such as productivity, raw material quality, food safety, and supply chain resilience. The position operates within the Ag Science Division of Research and Development, collaborating with multidisciplinary teams in genetics, breeding, systems biology, agronomy, and sustainability. The scientist will also work closely with breeders and business leaders across commercial, supply chain, procurement, processing, R&amp;D quality, and consumer insights to align variety advancement with business priorities, support robust data-driven decisions, and provide growers with tailored agronomic guidance.
 
 
 
 Responsibilities
 
 
 
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 Developing, coordinating, and delivering the Middle East variety testing plans to develop and select varieties that meet the business defined product profiles Creating a phenotyping and yield trial program that supports commercial decisions, delivers data to the global breeder center, and facilitates go to market value propositions, delivering on sustainability and consumer targets.
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 Developing collaborative relationships with internal partners including the breeding team, trait discovery team, and variety specific agronomy crop technology team. Supporting the development of product profiles with input from the processing, quality, sensory, business, supply chain, and procurement teams.
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 Be center point for variety qualification approval committee in Middle East driving final alignment on varieties that advance to becoming part of the portfolio of options for growers to produce for PepsiCo.
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 Develop and maintain external breeding partnerships to identify, test and validate the progression of new varieties through commercial approval in Middle East.
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 Collaborate with R&amp;D Ag Science sector trialing teams understand region specific variety performance to maintain current data on local varieties into the global Pepsico Variety Catalog.
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 Achieving successful outcomes and timelines, while consistently following guidelines, rules, standards, and compliance. Monitoring, tracking, and maintaining desired outcomes and objectives preparing for future challenges.
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 Engage staff in their personal development and fulfillment of goals, ensuring each has the skills needed for success in their roles and continued growth, while continuously evaluating their fit in their position, their desire and training to accomplish tasks safely, and the resources required to help them achieve their goals
 
 
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 </ul>
 
 Qualifications
 
 
 
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 <li>
 A PhD (with &gt;5 years experience or MSc +10y experience in an ag seed or chemical company) with plot trial experience preferably in potato, crop trait valuation, strategic needs assessment, trait/variety portfolio management, commercial agronomy and/or technology development of new variety solutions
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 Previous experience executing/managing trials working to support development and implementation of performance and quality testing programs to capture environmental data, phenotype data and define experimental designs that support robust decisions, strengthen go to market messaging and inform breeding models.
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 Experience in leadership and understanding of strategy, brand management, sales and market analysis.
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 Have specialized knowledge of variety testing, statistical experimental design, field plot technique, statistical data analysis and interpretation, plus reporting is required.
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 Possess excellent communication skills, verbal and written; ability to productively interact with people at all levels across the organization.
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 Ability to travel at least 20% of the time domestically and internationally.
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 Fluency in English
 </li>
 </ul>
</div>

Middle East Variety Trialing and Development Lead

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

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