Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Experience with AI, data annotation, or digital content development projects is advantageous but not essential. * Strong collaboration skills, particularly in remote or cross-functional environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Background in AI, data annotation, or digital content projects is advantageous but not mandatory. * Proven collaboration skills, especially in remote or cross-functional project environments.
Utilize the designated "D&A" application for all data capture and upload. * Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts ...
Utilize the designated "D&A" application for all data capture and upload. * Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts ...
Financial Analyst
Vancouver, BC · Remote
CA$50K - CA$60K/yr
Remote-first (Canada/US preferred), optional in-person collaboration in Vancouver The Opportunity ... This is not a traditional entry-level finance role. You will work directly on: * financial models ...
Quick apply
Financial Analyst
Vancouver, BC · Remote
CA$50K - CA$60K/yr
Remote-first (Canada/US preferred), optional in-person collaboration in Vancouver The Opportunity ... This is not a traditional entry-level finance role. You will work directly on: * financial models ...
Full-Stack Engineer
Vancouver, BC · On-site +1
CA$65K - CA$75K/yr
Our next major engineering milestone is evolving our data layer to seamlessly ingest, track, and ... Role Overview We are looking for an Entry-Level Full-Stack Engineer who is eager to help build the ...
Full-Stack Engineer
Vancouver, BC · On-site +1
CA$65K - CA$75K/yr
Our next major engineering milestone is evolving our data layer to seamlessly ingest, track, and ... Role Overview We are looking for an Entry-Level Full-Stack Engineer who is eager to help build the ...
Remote Entry Level Data Annotation information
What are the key skills and qualifications needed to thrive as a Remote Entry Level Data Annotation specialist, and why are they important?
To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.
What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?
| Aspect | Remote Entry Level Data Annotation | Remote Data Labeling Specialist |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Similar, often no formal certifications required |
| Work Environment | Remote, flexible hours | Remote, often part-time or freelance |
| Industry Usage | AI, machine learning, tech companies | AI, autonomous vehicles, tech firms |
| Search Intent | Entry-level data annotation jobs | Data labeling roles for AI projects |
Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.
What are some common challenges faced by remote entry-level data annotators, and how can they be managed?
Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.
What is a Remote Entry Level Data Annotation job?
A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.
What are popular job titles related to Remote Entry Level Data Annotation jobs in Surrey, BC? For Remote Entry Level Data Annotation jobs in Surrey, BC, the most frequently searched job titles are:
What cities near Surrey, BC are hiring for Remote Entry Level Data Annotation jobs? Cities near Surrey, BC with the most Remote Entry Level Data Annotation job openings:
Full-time
This job post has expired 2 days ago. Applications are no longer accepted.
Job description
Chemistry Expert (PhD)
$80 - $90/hourpay
Required Skills
advanced chemistry knowledge
scientific writing
verbal comms
attention to detail
educational content development
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Role Title: Chemistry Expert (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Chemistry Experts (PhD) to contribute their advanced subject-matter expertise to a customer’s AI training initiative. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Produce authoritative, accurate, and well-explained responses to advanced chemistry queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
- Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy, completeness, and current best-practice alignment.
- Develop comprehensive explanations and justifications across a wide array of chemical concepts, spanning foundational and specialized areas of chemistry.
- Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
- Create exemplary “golden responses” that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
- Document context and rationale behind answers to assist model interpretability and future annotation efforts.
- Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.
Preferred Qualifications
- PhD in Chemistry or a closely related scientific field with robust expertise in both foundational and advanced topics.
- Proven ability to communicate intricate chemistry concepts with precision in both written and verbal forms.
- Experience in developing, reviewing, or publishing scientific, technical, or educational chemistry materials (such as research articles, curricula, industry reports, or peer reviews).
- Familiarity with multiple sub-disciplines within chemistry (organic, inorganic, physical, analytical, materials science, etc.) and the ability to adapt explanations for diverse audiences.
- Exceptional attention to detail with a commitment to scientific accuracy and methodological rigor.
- Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
- Strong collaboration skills, particularly in remote or cross-functional environments.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
About micro1
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Palo Alto, CA, US