agriculture& irrigation engineer

ai developer

ai search intern

ai/ml engineer

environmental management scientist (ai training) Jobs in Cairo

forestry and land management scientist ai training

Alignerr

<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)

<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>
 <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 conservation science questions and scenarios used in AI training.
 </li>
 <li>
 Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
 </li>
 <li>
 Assess whether AI-generated recommendations reflect real-world conservation practices.
 </li>
 <li>
 Provide structured feedback to improve scientific reasoning and outputs.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of professional experience in natural resource conservation or environmental science.
 </li>
 <li>
 Strong understanding of ecosystems, land management, and conservation principles.
 </li>
 <li>
 Able to clearly evaluate scientific reasoning and applied recommendations.
 </li>
 <li>
 Comfortable reviewing structured written content and providing detailed feedback.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Natural Resources, Environmental Science, or related field.
 </li>
 <li>
 Fieldwork or applied conservation 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>

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.
 </li>
 <li>
 Assess accuracy of content related to erosion control, watershed management, and soil health.
 </li>
 <li>
 Identify flawed assumptions or impractical recommendations.
 </li>
 <li>
 Provide structured feedback to improve scientific rigor and clarity.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in soil science, hydrology, or conservation planning.
 </li>
 <li>
 Strong understanding of soil processes, water systems, and conservation techniques.
 </li>
 <li>
 Able to evaluate applied environmental science reasoning.
 </li>
 <li>
 Comfortable reviewing technical written content.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Soil Science, Hydrology, or related field.
 </li>
 <li>
 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

<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.
 
 
 <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 environmental management scenarios and analyses used in AI training.
 </li>
 <li>
 Evaluate reasoning related to sustainability, impact mitigation, and resource planning.
 </li>
 <li>
 Identify gaps between theory and real-world environmental practice.
 </li>
 <li>
 Provide structured feedback to improve clarity and applicability.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in environmental management or conservation roles.
 </li>
 <li>
 Strong understanding of sustainability frameworks and environmental planning.
 </li>
 <li>
 Able to critically assess written environmental analyses.
 </li>
 <li>
 Comfortable providing detailed, structured feedback.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Environmental Management or related field.
 </li>
 <li>
 Experience with environmental policy or regulatory frameworks.
 </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>

Environmental Management Scientist (AI Training)

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
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 
 </li>
 </ul>
 
 Your Profile
 
 
 <ul>
 <li>
 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
 </li>
 <li>
 Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
 </li>
 <li>
 Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
 </li>
 <li>
 Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
 </li>
 <li>
 Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
 </li>
 <li>
 Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
 </li>
 <li>
 Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
 </li>
 <li>
 Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
 </li>
 <li>
 Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
 </li>
 </ul>
</div>

R Engineer

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:
 
 
 
 <ul>
 <li>
 Project contributions, model development &amp; refinement, and mentorship
 </li>
 <li>
 Lead specific modules or components within larger data science projects
 </li>
 <li>
 Develop and optimize existing machine learning models for improved performance
 </li>
 <li>
 Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications
 </li>
 <li>
 Mentor junior data scientists on technical best practices
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into business processes
 
 
 </li>
 </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.
 
 
 <li>
 
 
 </li>
 
 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

Explore 624+ Forestry and land management scientist ai training in Cairo this February. Find roles across top companies and apply now to boost your career.