Description: Will work approximately 9-5PM PST (plus lunch, as needed) as hours and days will vary. Ideal candidates will be licenses real estate agents looking for additional income. These opportunities are remote but they must reside in the area (San Francisco in this case) to know the market.Hours, schedule and duration will vary (ie a few days) but could consistently come back as needed,
Candidates will NOT be interviewed. Resumes will need to be submitted in PDF format with the CANDIDATE QUESTIONNAIRE completed. Only candidates who have scored a minimum of 80 out of 110 points.
bout the team: Artificial Intelligence (AI) and Machine Learning (ML) are at the heart of the organization's services, from the Zestimate to personalized home recommendations t o automated home tours! We believe in making all information transparent and providing insights that help more people get home - with speed, certainty and ease.
The Artificial Intelligence team is harnessing the power of Generative Artificial Intelligence to build services and product experiences for a seamless and convenient real estate transaction experience. The Artificial Intelligence Platform team is building platform services that enable usage of Large Language Models (LLMs) and multimodal models across *** Group businesses.
Will work a team of real-estate experts and contribute to our growing set of Agentic projects. Combines expertise in the real-estate process stages with a deep curiosity around Artificial Intelligence-powered experiences.
bout the role: The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions, between home buyers and real estate agents for example. Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software Developers and Natural Language experts.
Responsible for ensuring the quality of a number of possible elements related to our projects. Projects such as reviewing the accuracy and humanlike traits of automated chatbots answers, to the classification of elements of a conversation annotated automatically or the review of search results based on understanding of complex users queries.
Plays an essential role in defining clear guidelines which may be used by non-native English speakers. Attention to detail and natural curiosity for language subtleties is essential for the long term scaling of our solutions.
Major responsibilities:
Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
Provide feedback and guidance to engineers to improve accuracy.
Collaborate with engineers and data scientists to optimize model performance based on annotated data.
Develop and maintain annotation guidelines and best practices.
Provide training data to engineers to establish Ground Truth data.
Provide input/examples on Training content.
Identify gaps in training content and suggest improvements.
MINIMUM QUALIFICATIONS
Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content.
Bachelor's degree in English, Linguistics or a related field.
Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation.
Excellent attention to detail and analytical skills.
bility to work effectively in a collaborative team environment.
Experience with tools and software used for Natural Language Processing annotation is a plus.
PREFERRED QUALIFICATIONS
Experience with copywriting, User Experience authoring, content development around voice and brand guidelines.
Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
Experience following or managing complex processes, and working both independently and with a team to achieve a goal.
Custom Fields:
Name: Is this position Insider or Non-Insider?
Value: Non-Insider
Name: If Yes, what is the work schedule for this position? (Make required upon the previous question being answered Yes)
Value: None
Name: YesDoes this position allow for Agency Employed Contractors to work off-site (remotely)?
Value: Yes
Name: Does this position require the Contingent Worker to work non-standard (8-5, M-F) hours?
Value: No
Description: Will work approximately 9-5PM PST (plus lunch, as needed) as hours and days will vary. Ideal candidates will be licenses real estate agents looking for additional income. These opportunities are remote but they must reside in the area (San Francisco in this case) to know the market.Hours, schedule and duration will vary (ie a few days) but could consistently come back as needed,
Candidates will NOT be interviewed. Resumes will need to be submitted in PDF format with the CANDIDATE QUESTIONNAIRE completed. Only candidates who have scored a minimum of 80 out of 110 points.
bout the team: Artificial Intelligence (AI) and Machine Learning (ML) are at the heart of the organization's services, from the Zestimate to personalized home recommendations t o automated home tours! We believe in making all information transparent and providing insights that help more people get home - with speed, certainty and ease.
The Artificial Intelligence team is harnessing the power of Generative Artificial Intelligence to build services and product experiences for a seamless and convenient real estate transaction experience. The Artificial Intelligence Platform team is building platform services that enable usage of Large Language Models (LLMs) and multimodal models across *** Group businesses.
Will work a team of real-estate experts and contribute to our growing set of Agentic projects. Combines expertise in the real-estate process stages with a deep curiosity around Artificial Intelligence-powered experiences.
bout the role: The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions, between home buyers and real estate agents for example. Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software Developers and Natural Language experts.
Responsible for ensuring the quality of a number of possible elements related to our projects. Projects such as reviewing the accuracy and humanlike traits of automated chatbots answers, to the classification of elements of a conversation annotated automatically or the review of search results based on understanding of complex users queries.
Plays an essential role in defining clear guidelines which may be used by non-native English speakers. Attention to detail and natural curiosity for language subtleties is essential for the long term scaling of our solutions.
Major responsibilities:
Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
Provide feedback and guidance to engineers to improve accuracy.
Collaborate with engineers and data scientists to optimize model performance based on annotated data.
Develop and maintain annotation guidelines and best practices.
Provide training data to engineers to establish Ground Truth data.
Provide input/examples on Training content.
Identify gaps in training content and suggest improvements.
MINIMUM QUALIFICATIONS
Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content.
Bachelor's degree in English, Linguistics or a related field.
Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation.
Excellent attention to detail and analytical skills.
bility to work effectively in a collaborative team environment.
Experience with tools and software used for Natural Language Processing annotation is a plus.
PREFERRED QUALIFICATIONS
Experience with copywriting, User Experience authoring, content development around voice and brand guidelines.
Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
Experience following or managing complex processes, and working both independently and with a team to achieve a goal.
Custom Fields:
Name: Is this position Insider or Non-Insider?
Value: Non-Insider
Name: If Yes, what is the work schedule for this position? (Make required upon the previous question being answered Yes)
Value: None
Name: YesDoes this position allow for Agency Employed Contractors to work off-site (remotely)?
Value: Yes
Name: Does this position require the Contingent Worker to work non-standard (8-5, M-F) hours?
Value: No
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