Statisticians - AI Trainer Careers at Handshake - Remote (USA) | Apply Now!
Handshake
Statisticians - AI Trainer Careers at Handshake - Remote (USA) | Apply Now!
Job Description
Statisticians - AI Trainer (Contract) - Remote (USA)
Role Overview
Handshake is seeking talented and experienced Statisticians to join our team as AI Trainers on a contract basis. This is a unique opportunity to leverage your statistical expertise to contribute to the development of cutting-edge AI models. No prior AI experience is required. As an AI Trainer, you will evaluate the output of AI models in the field of statistics, assess content relevance, and provide structured feedback to enhance the model's understanding of statistical tasks and language. This is a remote, asynchronous position with flexible hours, allowing you to work independently from anywhere in the USA.
Day in the Life
As a Statistician - AI Trainer, your day-to-day tasks may include:
- Developing prompts for AI models that reflect real-world statistical scenarios.
- Evaluating AI model responses for accuracy, relevance, and clarity.
- Providing detailed feedback on model performance to improve its understanding of statistical concepts.
- Analyzing and interpreting statistical data to identify trends and relationships.
- Assessing the validity and reliability of statistical methods used by AI models.
- Preparing reports and presentations summarizing your findings.
- Collaborating with other AI Trainers and engineers to refine the AI model training process.
- Staying up-to-date on the latest advancements in statistics and AI.
Why Remote?
This position is fully remote, allowing you to work from the comfort of your own home or any location within the USA. We believe that a remote work environment fosters flexibility, autonomy, and a better work-life balance. You will have the freedom to manage your own schedule and work at your own pace, while still contributing to a meaningful and impactful project.
Career Path
While this is a contract position, it offers a valuable opportunity to gain experience in the rapidly growing field of AI. The skills and knowledge you acquire as an AI Trainer can be applied to a variety of roles in data science, machine learning, and statistical analysis. Depending on project availability and your performance, there may be opportunities for contract extensions or future collaborations with Handshake.
Salary & Benefits
The hourly rate for this contract position is competitive and will be commensurate with your experience and qualifications. As a contractor, you will not be eligible for traditional employee benefits, such as health insurance or paid time off. However, you will have the flexibility to set your own hours and work on projects that align with your interests and expertise.
Mission
At Handshake, our mission is to democratize opportunity and help every student and young professional find the right career. By contributing to the development of AI models that understand and can assist with statistical tasks, you will be playing a crucial role in helping us achieve this mission. Your work will help us to empower students and young professionals with the tools and knowledge they need to succeed in their careers.
How to Apply
To apply for this position, please submit your resume and a cover letter outlining your relevant experience and qualifications. Be sure to highlight your statistical expertise, your ability to analyze and interpret data, and your interest in contributing to the field of AI. We encourage you to share any relevant projects or publications that demonstrate your skills and knowledge.
FAQ
- What is the time commitment for this position?
The hours are flexible, with no minimum commitment, but most average 5-20 hours per week. - Do I need prior AI experience to apply?
No, prior AI experience is not required. We are looking for Statisticians with strong analytical and problem-solving skills. - Is this a remote position?
Yes, this is a fully remote position. - What type of work will I be doing?
You will be developing prompts for AI models, evaluating model responses, and providing feedback to improve model performance. - What qualifications are required for this role?
You must have at least 4 years of professional experience in statistics or a related field. - Will I be working independently or as part of a team?
You will be working independently but will have opportunities to collaborate with other AI Trainers and engineers. - What is the duration of the contract?
The Handshake AI opportunity runs year-round, with project opportunities opening periodically. - How will I be compensated?
You will be paid an hourly rate for your work. - What are the opportunities for career growth?
This contract position offers valuable experience in the field of AI and can lead to future opportunities with Handshake or other organizations. - How do I apply?
Please submit your resume and a cover letter outlining your relevant experience and qualifications.
Locations
- Remote, USA, USA (Remote)
Salary
0Skills Required
- Statistical Analysisintermediate
- Data Interpretationintermediate
- Statistical Modelingintermediate
- Data Visualizationintermediate
- Experimental Designintermediate
- Sampling Techniquesintermediate
- Analytical Methodsintermediate
- Data Processingintermediate
- Data Cleaningintermediate
- Statistical Softwareintermediate
- Programming Languagesintermediate
- Research Reportingintermediate
- Data Collectionintermediate
- Probability Theoryintermediate
- Inferenceintermediate
- Data Warehousingintermediate
- AI Trainingintermediate
- Prompt Engineeringintermediate
- AI Model Evaluationintermediate
- Asynchronous Communicationintermediate
Required Qualifications
- 4+ years of professional experience in statistics or related fields. (experience)
- Experience analyzing and interpreting statistical data. (experience)
- Proficiency in evaluating statistical methods and procedures. (experience)
- Ability to report statistical analysis results clearly and effectively. (experience)
- Experience determining the appropriateness of statistical methods. (experience)
- Skills in preparing data for processing. (experience)
- Knowledge of experimental design, sampling techniques, and analytical methods. (experience)
- Ability to identify relationships and trends in data. (experience)
- Experience presenting statistical results to diverse audiences. (experience)
- Skills in designing research projects using valid scientific techniques. (experience)
- Ability to adapt statistical methods to solve domain-specific problems. (experience)
- Experience evaluating data sources for reliability and usability. (experience)
- Proficiency in processing large datasets for statistical modeling. (experience)
- Skills in developing custom software for statistical modeling and visualization. (experience)
- Experience reporting research findings in peer-reviewed papers or technical reports. (experience)
- Knowledge of planning data collection methods. (experience)
- Understanding of sampling techniques and survey group definitions. (experience)
- Familiarity with probability and inference principles. (experience)
- Experience supervising and training data collection personnel. (experience)
- Skills in preparing and structuring data warehouses. (experience)
- Ability to participate in asynchronous work with leading AI labs. (experience)
Responsibilities
- Develop prompts for AI models reflecting statistical expertise.
- Evaluate AI model responses based on statistical knowledge.
- Assess content related to statistics and provide feedback.
- Analyze and interpret statistical data to identify significant relationships.
- Evaluate statistical methods used to ensure data validity and accuracy.
- Report results of statistical analyses using graphs, charts, and tables.
- Determine the appropriateness of statistical methods for user needs.
- Prepare data for processing by organizing, cleaning, and weighting datasets.
- Develop and test experimental designs and sampling techniques.
- Identify trends and factors influencing research outcomes.
- Present statistical results using visual aids to diverse audiences.
- Design research projects using baseline data for efficient analyses.
- Adapt statistical methods to solve domain-specific problems.
- Evaluate data sources for reliability and usability.
- Process large datasets for statistical modeling using specialized software.
- Develop custom software applications for statistical modeling and visualization.
- Report research findings in peer-reviewed papers or technical documentation.
- Plan data collection methods and determine appropriate sample sizes.
- Apply sampling techniques to define survey groups.
- Examine theoretical foundations to refine methods for obtaining and evaluating data.
- Supervise and train workers responsible for data collection.
- Prepare and structure data warehouses for efficient storage and retrieval.
Benefits
- general: Flexible remote work environment.
- general: Opportunity to contribute to cutting-edge AI research.
- general: Develop new skills in AI model evaluation and training.
- general: Work on projects aligned with your statistical expertise.
- general: Gain experience in prompt engineering and AI interaction.
- general: Enhance understanding of AI applications in statistics.
- general: Flexible hours with no minimum commitment.
- general: Work independently and asynchronously.
- general: Contribute to how AI is used in your field.
- general: Learn about the latest advancements in AI technology.
- general: Participate in projects with leading AI labs.
- general: Expand your professional network in the AI and statistics fields.
- general: Competitive hourly rate.
- general: Opportunity to work on diverse projects throughout the year.
- general: Gain insights into AI model behavior and performance.
- general: Develop a deeper understanding of the intersection of statistics and AI.
- general: Enhance your problem-solving skills in the context of AI training.
- general: Contribute to the development of more accurate and reliable AI models.
- general: Opportunity for professional growth and development.
- general: Flexible work schedule to accommodate personal commitments.
- general: Work from anywhere in the USA.
- general: Gain valuable experience in a rapidly evolving field.
- general: Make a meaningful contribution to the advancement of AI technology.
- general: Access to training materials and resources to enhance your skills.
Tags & Categories
Answer 10 quick questions to check your fit for Statisticians - AI Trainer Careers at Handshake - Remote (USA) | Apply Now! @ Handshake.
Related Books and Jobs
Statisticians - AI Trainer Careers at Handshake - Remote (USA) | Apply Now!
Handshake
Statisticians - AI Trainer Careers at Handshake - Remote (USA) | Apply Now!
Job Description
Statisticians - AI Trainer (Contract) - Remote (USA)
Role Overview
Handshake is seeking talented and experienced Statisticians to join our team as AI Trainers on a contract basis. This is a unique opportunity to leverage your statistical expertise to contribute to the development of cutting-edge AI models. No prior AI experience is required. As an AI Trainer, you will evaluate the output of AI models in the field of statistics, assess content relevance, and provide structured feedback to enhance the model's understanding of statistical tasks and language. This is a remote, asynchronous position with flexible hours, allowing you to work independently from anywhere in the USA.
Day in the Life
As a Statistician - AI Trainer, your day-to-day tasks may include:
- Developing prompts for AI models that reflect real-world statistical scenarios.
- Evaluating AI model responses for accuracy, relevance, and clarity.
- Providing detailed feedback on model performance to improve its understanding of statistical concepts.
- Analyzing and interpreting statistical data to identify trends and relationships.
- Assessing the validity and reliability of statistical methods used by AI models.
- Preparing reports and presentations summarizing your findings.
- Collaborating with other AI Trainers and engineers to refine the AI model training process.
- Staying up-to-date on the latest advancements in statistics and AI.
Why Remote?
This position is fully remote, allowing you to work from the comfort of your own home or any location within the USA. We believe that a remote work environment fosters flexibility, autonomy, and a better work-life balance. You will have the freedom to manage your own schedule and work at your own pace, while still contributing to a meaningful and impactful project.
Career Path
While this is a contract position, it offers a valuable opportunity to gain experience in the rapidly growing field of AI. The skills and knowledge you acquire as an AI Trainer can be applied to a variety of roles in data science, machine learning, and statistical analysis. Depending on project availability and your performance, there may be opportunities for contract extensions or future collaborations with Handshake.
Salary & Benefits
The hourly rate for this contract position is competitive and will be commensurate with your experience and qualifications. As a contractor, you will not be eligible for traditional employee benefits, such as health insurance or paid time off. However, you will have the flexibility to set your own hours and work on projects that align with your interests and expertise.
Mission
At Handshake, our mission is to democratize opportunity and help every student and young professional find the right career. By contributing to the development of AI models that understand and can assist with statistical tasks, you will be playing a crucial role in helping us achieve this mission. Your work will help us to empower students and young professionals with the tools and knowledge they need to succeed in their careers.
How to Apply
To apply for this position, please submit your resume and a cover letter outlining your relevant experience and qualifications. Be sure to highlight your statistical expertise, your ability to analyze and interpret data, and your interest in contributing to the field of AI. We encourage you to share any relevant projects or publications that demonstrate your skills and knowledge.
FAQ
- What is the time commitment for this position?
The hours are flexible, with no minimum commitment, but most average 5-20 hours per week. - Do I need prior AI experience to apply?
No, prior AI experience is not required. We are looking for Statisticians with strong analytical and problem-solving skills. - Is this a remote position?
Yes, this is a fully remote position. - What type of work will I be doing?
You will be developing prompts for AI models, evaluating model responses, and providing feedback to improve model performance. - What qualifications are required for this role?
You must have at least 4 years of professional experience in statistics or a related field. - Will I be working independently or as part of a team?
You will be working independently but will have opportunities to collaborate with other AI Trainers and engineers. - What is the duration of the contract?
The Handshake AI opportunity runs year-round, with project opportunities opening periodically. - How will I be compensated?
You will be paid an hourly rate for your work. - What are the opportunities for career growth?
This contract position offers valuable experience in the field of AI and can lead to future opportunities with Handshake or other organizations. - How do I apply?
Please submit your resume and a cover letter outlining your relevant experience and qualifications.
Locations
- Remote, USA, USA (Remote)
Salary
0Skills Required
- Statistical Analysisintermediate
- Data Interpretationintermediate
- Statistical Modelingintermediate
- Data Visualizationintermediate
- Experimental Designintermediate
- Sampling Techniquesintermediate
- Analytical Methodsintermediate
- Data Processingintermediate
- Data Cleaningintermediate
- Statistical Softwareintermediate
- Programming Languagesintermediate
- Research Reportingintermediate
- Data Collectionintermediate
- Probability Theoryintermediate
- Inferenceintermediate
- Data Warehousingintermediate
- AI Trainingintermediate
- Prompt Engineeringintermediate
- AI Model Evaluationintermediate
- Asynchronous Communicationintermediate
Required Qualifications
- 4+ years of professional experience in statistics or related fields. (experience)
- Experience analyzing and interpreting statistical data. (experience)
- Proficiency in evaluating statistical methods and procedures. (experience)
- Ability to report statistical analysis results clearly and effectively. (experience)
- Experience determining the appropriateness of statistical methods. (experience)
- Skills in preparing data for processing. (experience)
- Knowledge of experimental design, sampling techniques, and analytical methods. (experience)
- Ability to identify relationships and trends in data. (experience)
- Experience presenting statistical results to diverse audiences. (experience)
- Skills in designing research projects using valid scientific techniques. (experience)
- Ability to adapt statistical methods to solve domain-specific problems. (experience)
- Experience evaluating data sources for reliability and usability. (experience)
- Proficiency in processing large datasets for statistical modeling. (experience)
- Skills in developing custom software for statistical modeling and visualization. (experience)
- Experience reporting research findings in peer-reviewed papers or technical reports. (experience)
- Knowledge of planning data collection methods. (experience)
- Understanding of sampling techniques and survey group definitions. (experience)
- Familiarity with probability and inference principles. (experience)
- Experience supervising and training data collection personnel. (experience)
- Skills in preparing and structuring data warehouses. (experience)
- Ability to participate in asynchronous work with leading AI labs. (experience)
Responsibilities
- Develop prompts for AI models reflecting statistical expertise.
- Evaluate AI model responses based on statistical knowledge.
- Assess content related to statistics and provide feedback.
- Analyze and interpret statistical data to identify significant relationships.
- Evaluate statistical methods used to ensure data validity and accuracy.
- Report results of statistical analyses using graphs, charts, and tables.
- Determine the appropriateness of statistical methods for user needs.
- Prepare data for processing by organizing, cleaning, and weighting datasets.
- Develop and test experimental designs and sampling techniques.
- Identify trends and factors influencing research outcomes.
- Present statistical results using visual aids to diverse audiences.
- Design research projects using baseline data for efficient analyses.
- Adapt statistical methods to solve domain-specific problems.
- Evaluate data sources for reliability and usability.
- Process large datasets for statistical modeling using specialized software.
- Develop custom software applications for statistical modeling and visualization.
- Report research findings in peer-reviewed papers or technical documentation.
- Plan data collection methods and determine appropriate sample sizes.
- Apply sampling techniques to define survey groups.
- Examine theoretical foundations to refine methods for obtaining and evaluating data.
- Supervise and train workers responsible for data collection.
- Prepare and structure data warehouses for efficient storage and retrieval.
Benefits
- general: Flexible remote work environment.
- general: Opportunity to contribute to cutting-edge AI research.
- general: Develop new skills in AI model evaluation and training.
- general: Work on projects aligned with your statistical expertise.
- general: Gain experience in prompt engineering and AI interaction.
- general: Enhance understanding of AI applications in statistics.
- general: Flexible hours with no minimum commitment.
- general: Work independently and asynchronously.
- general: Contribute to how AI is used in your field.
- general: Learn about the latest advancements in AI technology.
- general: Participate in projects with leading AI labs.
- general: Expand your professional network in the AI and statistics fields.
- general: Competitive hourly rate.
- general: Opportunity to work on diverse projects throughout the year.
- general: Gain insights into AI model behavior and performance.
- general: Develop a deeper understanding of the intersection of statistics and AI.
- general: Enhance your problem-solving skills in the context of AI training.
- general: Contribute to the development of more accurate and reliable AI models.
- general: Opportunity for professional growth and development.
- general: Flexible work schedule to accommodate personal commitments.
- general: Work from anywhere in the USA.
- general: Gain valuable experience in a rapidly evolving field.
- general: Make a meaningful contribution to the advancement of AI technology.
- general: Access to training materials and resources to enhance your skills.
Tags & Categories
Answer 10 quick questions to check your fit for Statisticians - AI Trainer Careers at Handshake - Remote (USA) | Apply Now! @ Handshake.
Related Books and Jobs