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environmental management scientist (ai training) Jobs in Cairo

environmental specialist

forestry and land management scientist (ai training) Jobs in Cairo

environmental scientist

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
 
 
 
 <ul>
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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
 
 
 
 <ul>
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 Competitive pay and flexible remote work.
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 <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>
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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.
 
 
 <ul>
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 Organization: Alignerr (Powered by Labelbox)
 </li>
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 Location: Remote
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 <li>
 Type: Hourly / Task-based Contract
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 <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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 <li>
 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
 
 
 
 <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>

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.
 
 
 <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 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
 
 
 
 <ul>
 <li>
 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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 <li>
 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

Tagaddod

<div>
 We are seeking a highly skilled and experienced Environmental Specialist to join our dynamic team. In this pivotal role, you will be responsible for leading our environmental initiatives, ensuring compliance with environmental regulations, and driving innovative solutions to minimize our ecological footprint.
 
 
 
 Responsibilities
 
 
 
 1- Support the preparation and maintenance of the company's GHG inventory (Scopes 1, 2, and limited Scope 3) by collecting, organizing, and validating emissions data in line with GHG Protocol guidelines.
 
 
 2- Assist in analyzing emissions data to identify basic trends and reduction opportunities, and contribute to internal reports supporting sustainability and climate initiatives.
 
 
 3- Support compliance with GHG reporting requirements and assist in data submission for voluntary programs such as renewable energy certificates (RECs) or carbon-related initiatives.
 
 
 4- Maintain and update GHG accounting tools, spreadsheets, and databases, ensuring data accuracy, consistency, and traceability.
 
 
 5- Support mass balance certification schemes (e.g., ISCC, RSB) by preparing documentation, coordinating data requests, and assisting during audits.
 
 
 6- Help improve environmental data management processes by documenting procedures, supporting automation efforts, and implementing best practices under supervision.
 
 
 7- Coordinate with internal teams (operations, procurement, logistics) to gather environmental data and ensure timely reporting.
 
 
 
 Requirements
 
 
 
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 Bachelor's degree in Environmental Science, Environmental Engineering, or a related field
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 1-3 years of experience in environmental management, compliance, or sustainability
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 Strong knowledge of environmental regulations and standards (e.g., EPA regulations, ISO 14001)
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 Proven experience in conducting environmental assessments and audits
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 Excellent analytical skills with the ability to interpret complex environmental data
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 Strong project management skills and the ability to lead teams effectively
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 Exceptional written and verbal communication skills
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 Demonstrated ability to engage with regulatory agencies and stakeholders
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 Passion for environmental sustainability and a commitment to making a positive impact on the environment
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 </ul>
</div>

Environmental Specialist

<div>
 
 About The Role
 
 
 
 We&rsquo;re looking for forestry and land management scientists to help evaluate AI systems trained on sustainable forestry and land-use practices.
 
 
 <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 forestry and land management scenarios used in AI training.
 </li>
 <li>
 Assess accuracy of content related to forest health, land use, and sustainability.
 </li>
 <li>
 Identify errors or oversimplifications in management recommendations.
 </li>
 <li>
 Provide structured feedback to improve applied reasoning.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in forestry or land management roles.
 </li>
 <li>
 Strong understanding of forest ecosystems and management practices.
 </li>
 <li>
 Able to evaluate applied environmental decision-making.
 </li>
 <li>
 Comfortable reviewing written technical content.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Degree in Forestry, Natural Resources, or related field.
 </li>
 <li>
 Experience with land-use planning or conservation programs.
 </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>

Forestry and Land Management Scientist (AI Training)

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
 
 
 
 <ul>
 <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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 <li>
 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.
 </li>
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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.
 </li>
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 Possess excellent communication skills, verbal and written; ability to productively interact with people at all levels across the organization.
 </li>
 <li>
 Ability to travel at least 20% of the time domestically and internationally.
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 <li>
 Fluency in English
 </li>
 </ul>
</div>

Middle East Variety Trialing and Development Lead

Finaira

<div>
 The Data Scientist 2 will independently design, develop, and deploy AI and machine learning models to address complex business challenges within the financial sector. This role requires a strong understanding of data science methodologies, proficiency in relevant tools and technologies, and the ability to translate business needs into effective analytical solutions.
 
 
 The Data Scientist 2 will collaborate with cross-functional teams and communicate findings with increasing independence.
 
 
 
 The difference you will make:
 
 
 
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 Project contributions, model development &amp; refinement, and mentorship
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 Lead specific modules or components within larger data science projects
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 Develop and optimize existing machine learning models for improved performance
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 <li>
 Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications
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 <li>
 Mentor junior data scientists on technical best practices
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into business processes
 
 
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 </ul>
 
 Requirements
 
 
 
 
 Education:
 
 
 
 Bachelor's degree in Data Science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
 
 
 
 Experience:
 
 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
 
 
 
 Technical Skills:
 
 o Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
 
 
 Basic knowledge of software development frameworks (e.g., Spring, Django, React).
 
 
 Basic experience with databases (SQL).
 
 
 Understanding basic software design principles.
 
 
 Familiarity with version control systems (e.g., Git).
 
 
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
 
 
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 Soft Skills:
 
 
 
 Developing problem-solving and analytical skills.
 
 
 Ability to work independently and as part of a team.
 
 
 Developing communication and collaboration skills.
 
 
 Attention to detail and a willingness to learn.
 
 
 Customer-centric approach to understanding needs.
 
 
 Team player.
 
 
 Developing a disciplined work ethic.
 
 
 Good command of English language, both verbal and written.
 
 
 Self-learner with a positive attitude
</div>

Data Scientist II

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