Remote & environmental sciences team Jobs – 16 Open Jobs Today

Life & Environmental Sciences Team Lead
SME Careers by SuperAnnotate —Remote
- Remote
- Doctoral degree
- English
- Research
10d
Scientist – Nanomaterials & Nanotechnology
Udbhava Avinya Bharat LLP —Remote
- ₹3,02,184.47 - ₹11,56,118.16 a year
- Full-time
- Remote
- Doctoral degree
- Research
- Master's degree
Quick apply
School Science (Elementary) Team Lead
SME Careers by SuperAnnotate —Remote
- Remote
- English
- Master's degree
- Project management
10d
Scientist – Sustainable Product Development
Udbhava Avinya Bharat LLP —Remote
- ₹13,004.38 - ₹48,017.77 a month
- Full-time
- Remote
- Doctoral degree
- Research
- Master's degree
Quick apply
Compliance Manager - APAC
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- Microsoft Office
- Analysis skills
- Bachelor's degree
System Analysis Associate III - HR Data Mgmt
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
11d
Senior Manager, Clinical Operations (FSP )
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- English
- Research
- Bachelor's degree
13d
Customer Service Representative II
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- Oracle
- Customer service
- Microsoft Office
Senior Platform SRE - US Shift
TD Synnex —Remote
- Full-time
- Remote
- Computer Science
- Windows
- Analysis skills
IT Business Analyst
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- ERP systems
- SQL
- Analysis skills
Salesforce Lead - Germany, or India
Storyblok —Remote
- Remote
- Oracle
- Computer Science
- Sales
- Work from home
- Flexible schedule
Project Manager (French fluent)
Brandtech+ —Remote
- Remote
- English
- Microsoft Office
- Project management
Quick apply
Area Sales Manager
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- Sales
- Salesforce
- ERP systems
Global Head of CGI
Brandtech+ —Remote
- Remote
- English
- Team management
- AI
Quick apply
SAP ABAP Developer
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- Computer Science
- English
- Analysis skills
4d
Senior Digital Designer (Figma)
Brandtech+ —Remote
- Remote
- AI
- Communication skills
- Marketing
Quick apply

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Life & Environmental Sciences Team Lead
SME Careers by SuperAnnotate —Remote
This role requires strong life/environmental science expertise, strong English communication skills, excellent attention to detail, structured communication,…
10d
Scientist – Nanomaterials & Nanotechnology
Udbhava Avinya Bharat LLP —Remote
Support risk assessment and environmental health evaluations of developed materials. Develop innovative nanotechnology-based products and solutions for…
₹3,02,184.47 - ₹11,56,118.16 a year
Quick apply

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Life & Environmental Sciences Team Lead

SME Careers by SuperAnnotate
Remote

Apply Now

Job details

Contractual / Temporary
10 days ago

Qualifications

Google Docs
Law
Doctoral degree
English
Research
Master's degree
Project management
Quality assurance
Bachelor's degree
AI
Punjabi
Communication skills
Teaching experience
GIS

Full job description

In this hourly, remote contractor role, you will work as a Life & Environmental Sciences Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across biology, ecology, environmental science, and life science AI training projects. You will review AI-generated life/environmental science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, biological reasoning, ecological context, environmental systems thinking, terminology quality, data interpretation, safety awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong life/environmental science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote science-focused teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your life and environmental sciences quality leadership will directly help improve the world’s premier AI models by ensuring that science training data is accurate, evidence-aware, environmentally contextualized, clearly explained, and aligned with client expectations.

requirements

Bachelor’s, Master’s, PhD, or equivalent professional experience in Biology, Environmental Science, Ecology, Conservation Biology, Earth Science, Public Health, Agriculture, Marine Science, Sustainability, Life Sciences, or a related field.

Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.

3+ years of experience in life science research, environmental science, teaching, fieldwork, lab work, conservation, sustainability, science communication, academic review, or related scientific workflows.

Strong understanding of biology, ecology, ecosystems, biodiversity, evolution, genetics, physiology, environmental systems, climate change, pollution, conservation, sustainability, and scientific methods.

Ability to evaluate life/environmental science content against detailed rubrics and identify issues such as incorrect biological claims, oversimplified ecological relationships, unsupported environmental claims, flawed causal reasoning, unsafe recommendations, or misleading data interpretation.

Familiarity with tools or methods such as field sampling, lab methods, ecological surveys, environmental impact assessment, GIS, statistics, climate/environmental datasets, literature review, or scientific visualization is preferred.

Experience leading or supporting remote teams of researchers, educators, reviewers, environmental specialists, annotators, trainers, or QAs is strongly preferred.

Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation.

Experience with AI training, data annotation, LLM evaluation, scientific QA, environmental content review, academic review, or rubric-based review is a strong plus.

responsibilities

Quality monitoring: Spot-check life and environmental science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.

Scientific review: Evaluate AI-generated biology, ecology, environmental science, sustainability, conservation, climate, and life science explanations for accuracy, clarity, and scientific rigor.

Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and life/environmental-science-specific review standards.

Question handling: Respond to trainer/QA questions clearly and promptly, especially around biological concepts, ecosystems, environmental systems, data interpretation, sustainability claims, safety, and rubric interpretation.

Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.

Documentation: Create and maintain life/environmental sciences project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.

Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and scientific review requirements.

Quality alignment: Ensure all trainers and QAs apply life and environmental science guidelines consistently and understand updates as projects evolve.

Risk review: Flag misleading environmental claims, unsupported health/ecology statements, unsafe experiment or field recommendations, flawed data interpretation, or overconfident scientific claims.

Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for life and environmental science AI training projects.

Native fluency in Punjabi

Apply Now

Refine Your Search

& environmental sciences team jobs in remote

Life & Environmental Sciences Team Lead

Scientist – Nanomaterials & Nanotechnology

School Science (Elementary) Team Lead

Scientist – Sustainable Product Development

Compliance Manager - APAC

System Analysis Associate III - HR Data Mgmt

Senior Manager, Clinical Operations (FSP )

Customer Service Representative II

Senior Platform SRE - US Shift

IT Business Analyst

Salesforce Lead - Germany, or India

Project Manager (French fluent)

Area Sales Manager

Global Head of CGI

SAP ABAP Developer

Senior Digital Designer (Figma)

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