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Overnight Real Estate Data Science Jobs (NOW HIRING)

Real Estate Specialist Duration : 6 months Location : REMOTE (8AM-5PM San Francisco) Must-Haves ... Collaborate with engineers and data scientists to optimize model performance based on annotated ...

Senior Data Analyst

$88K - $111K/yr

MIG Real Estate is looking for a Senior Data Analyst to join our growing real estate team ... Bachelor's degree in a field related to data science, or equivalent practical experience. * Minimum ...

Working knowledge of real estate data and analytics platforms including: Placer.ai, Sites USA, Crexi, and Land Glide Salary * Base salaries may vary depending on factors such as location and ...

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

Working knowledge of real estate data and analytics platforms including: Placer.ai, Sites USA, Crexi, and Land Glide Salary * Base salaries may vary depending on factors such as location and ...

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Overnight Real Estate Data Science information

What is the difference between Overnight Real Estate Data Science vs Real Estate Data Analyst?

AspectOvernight Real Estate Data ScienceReal Estate Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in programming languages like Python or RDegree in Real Estate, Economics, or related field; strong analytical skills
Work EnvironmentTypically in tech-driven real estate firms or data-focused teams, often involving complex modelingUsually in real estate agencies or brokerage firms, focusing on data reporting and market analysis
Employer & Industry UsageUsed by companies leveraging data science for predictive modeling and automation in real estateCommon in real estate firms for market analysis, property valuation, and reporting

Overall, Overnight Real Estate Data Science involves advanced data modeling and programming skills for predictive insights, while Real Estate Data Analysts focus on interpreting data for market trends and reporting. Both roles are essential but differ in technical complexity and scope.

More about Overnight Real Estate Data Science jobs
What cities are hiring for Overnight Real Estate Data Science jobs? Cities with the most Overnight Real Estate Data Science job openings:
What are the most commonly searched types of Real Estate Data Science jobs? The most popular types of Real Estate Data Science jobs are:
What states have the most Overnight Real Estate Data Science jobs? States with the most job openings for Overnight Real Estate Data Science jobs include:
Infographic showing various Overnight Real Estate Data Science job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 74% Full Time, 4% Part Time, and 18% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.
Real Estate Specialist

Real Estate Specialist

Insight Global

San Francisco, CA • Remote

$25 - $33/hr

Contractor

Medical, Dental, Vision

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Title: Real Estate Specialist

Duration: 6 months

Location: REMOTE (8AM-5PM San Francisco)


Must-Haves:

  • 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.
  • Ability to work effectively in a collaborative team environment.


Plusses:

  • 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.


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


Description:

A local company is searching for a large group of Annotators to join their teams. The team sits at the intersection of AI/ML innovation and real estate, leveraging technologies like generative AI, large language models, and multimodal systems to power products such as automated home tours, chatbots, and personalized recommendations, with the Annotation Judge playing a key role in evaluating and improving AI-driven interactions by assessing conversation quality, chatbot accuracy, and classification outputs; this position works cross-functionally with operations, engineering, and data science teams, requiring strong attention to detail, language nuance, and the ability to help define scalable annotation standards for global contributors. This role offers flexible hours typically aligned with 9–5 PM PST, though schedules and durations will vary based on project needs, with opportunities for recurring work; candidates must be licensed real estate agents located in the Seattle area to ensure local market knowledge, and while roles are remote, only applicants who submit a PDF resume with a completed candidate questionnaire and achieve a minimum score of 80/110 will be considered, as there is no interview process.