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Location:
San Francisco
Category:
Business/Systems Analysts

Workable
Workday Finance Integration Analyst
The Workday Integration Analyst is responsible for supporting the business and financial applications to ensure efficient, high-quality, and safe patient care. This position involves implementing, managing, and supporting systems with minimal supervision. The analyst will possess a strong understanding of business and financial operations in a healthcare setting, handle complex issues independently, make design decisions, and clearly communicate technical concepts across the organization.
Key Responsibilities:
Provide second-level support for application incidents reported through the help desk, including 24/7 on-call coverage as needed.
Assist junior team members in resolving application incidents, maintenance issues, and enhancement requests.
Coordinate application support with other IT teams, such as Infrastructure, Integration, Reporting, and the help desk.
Collaborate with vendors and IT analysts to design and implement system optimizations and enhancements.
Implement changes using documented procedures that comply with departmental policies.
Lead software upgrades and manage new software installations and enhancement requests of small to medium complexity.
Mentor junior staff in documenting workflows and developing their technical skills.
Act as a technology expert, translating technical concepts into business terms and influencing outcomes across different groups.
Maintain up-to-date project documents, including technical details, user expectations, project goals, and deliverables.
Participate in and organize team meetings, maintaining appropriate records.
Identify opportunities for improving application functionality and stability.
Anticipate and resolve system problems through independent analysis and solution development.
Research issues and analyze options to provide solutions, considering pros, cons, risks, and costs.
Requirements
Experience Requirements:
7+ years of experience with Workday integrations.
Strong technical and business operations background, particularly in a healthcare environment.
Knowledge of SDLC, Agile, and other software development methodologies.
Familiarity with server operating systems, databases, scripting languages, and disaster recovery technologies.
Ability to analyze complex systems and workflows.
Strong organizational skills and ability to manage major programs or functions.
Ability to communicate complex concepts clearly to management and cross-functional teams.
Strong collaboration and consensus-building skills.
Education Requirements:
Bachelor's degree in Computer Science, Information Systems, or a related field.
Benefits
Paid Time Off
Subsidized Medical, Dental, Vision and Life Insurance
Retirement Benefits
Employee Assistance Programs

Palo Alto, CA, USA

Workable
Senior Data Scientist
PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company.
This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually.
Job Summary
We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment.
This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key.
Key Responsibilities
Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results.
Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration.
Build and optimize workflows using frameworks such as LangChain
Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts.
Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy.
Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback.
Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production.
Collaborate with cross-functional teams to integrate generative outputs into client-facing applications.
Requirements
Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience.
3+ years of experience developing and deploying machine learning pipelines in production.
1+ years of experience building Generative AI or LLM-based applications.
Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs).
Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics.
Experience designing and implementing RAG architectures.
Hands-on experience with Databricks, MLflow, or similar platforms.
Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production.
Strong problem-solving skills and ability to lead through ambiguity.
Excellent communication and documentation habits.
Preferred Qualifications
Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains.
Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI.
Familiarity with fine-tuning or custom instruction tuning of LLMs.
Understanding of data privacy and compliance implications when working with client data and GenAI systems.
Benefits
Benefits and Compensation
A fast-paced, collaborative startup culture with high visibility.
Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
Opportunity to make a meaningful impact in building a company and culture.
Equity in a financial technology startup.
Generous health, dental, and vision coverage for employees and family members + 401K.
Eleven paid holidays and unlimited discretionary vacation days.
Competitive compensation and bonus potential.

San Francisco, CA, USA

Workable
Research Associate - AI (Eastern Standard Time)
Work Location: USA Remote (EST Candidates Preferred)
Work Hours: M - F, 9:00 am - 5:30 pm
Pay Rate: $24 - $27/hr DOE and location
The Research Associate is a non-traditional role in which you will work on our data collection and quality team focusing on the improvement of an AI engine.
In addition to an ability to write clearly and concisely, successful Research Associates must be able to tailor their writing style to each assignment’s requirements, possess solid research skills, quickly paraphrase their findings, and evaluate Large Language Model (LLM) prompts written by others.
The ideal candidates will have a solid ability to focus on efficiency and problem-solving, and excellent writing and reading comprehension skills – including experience in creating and composing text within a specified amount of time.
This role provides opportunities for career advancement.
Note: There is no coding or software development as part of this role.
What You'll Achieve (Responsibilities):
Work collaboratively in a fast-paced environment
Work on various client projects to train generative AI models, by creating prompts and responses based on the instructions provided and on using established best practices for quality prompts
Given examples, generate similar prompts and responses
Execute different Use Cases collecting Data in support of AI engine
Fine-tune AI training prompts for more consistent results
Work with a small team of Data Specialists in annotation and labeling projects
Engage and assist in regular team training
Help identify areas for process improvements
Assist in documenting processes
Quantitative and Qualitative feedback
Provide feedback on tools being used and on potential alternatives
Use a variety of communication channels such as Slack, Teams, and SharePoint, to learn about new projects, collaborate with your team, and ask questions
Learn new software programs on the job
Providing supporting documentation when the AI fails
Keywords provides a competitive compensation package, good benefits, and a casual, fun, productive and supportive working environment. We empower people to perform to the best of their ability with our “can do” attitude. We appreciate and embrace flexibility and learn at every opportunity to grow ourselves through experience, training and tackling new challenges. This is what makes us Keywordians.
Requirements
Preferred prior work experience or college studies in AI
Process-oriented, focused on problem-solving, an effective communicator, efficient, and highly organized, with strong attention to detail
Ability to learn, document, and work with the team on new technologies and processes
Ability to gain new skills and knowledge through hands-on experience
Experience in assisting in system troubleshooting & finding resolutions
Keen eye for detail
Strong communication skills (oral and written)
Demonstrated ability to work independently
Strong time management skills
Exemplify the quality of doing "get it done attitude," including a high level of accountability, transparency, and teamwork first & foremost
A stable internet connection with a download speed of 50-100 Mbps and an upload speed of at least 10 Mbps
Benefits
At Keywords, we provide all our contingent workforce with:
Paid Time Off (including sick days and holidays)
401k (3% matching)
Medical, Dental and Vision benefits

San Francisco, CA, USA
$24-27/hour

Workable
Research Associate - AI
Work Location: USA Remote (Prefer PST Time Zone)
Work Hours: M - F, 9:00 am - 5:30 pm
Pay Rate: $24 - $27/hr DOE and location
The Research Associate is a non-traditional role in which you will work on our data collection and quality team focusing on the improvement of an AI engine.
In addition to an ability to write clearly and concisely, successful Research Associates must be able to tailor their writing style to each assignment’s requirements, must possess solid research skills and be able to quickly paraphrase their findings, and will be called upon to evaluate Large Language Model (LLM) prompts written by others
The ideal candidates will have a solid ability to focus on efficiency and problem-solving, and excellent writing and reading comprehension skills – including experience in creating and composing text within a specified amount of time
This role provides opportunities for career advancement.
Note: There is no software development as part of this role, although Python or scripting knowledge is a plus.
What You'll Achieve (Responsibilities):
Work collaboratively in a fast-paced environment
Work on various client projects to train generative AI models, by creating prompts and responses based on the instructions provided and on using established best practices for quality prompts
Given examples, generate similar prompts and responses
Execute different Use Cases collecting Data in support of AI engine
Fine-tune AI training prompts for more consistent results
Work with a small team of Data Specialists in annotation and labeling projects.·
Engage and assist in regular team training
Help identify areas for process improvements
Assist in documenting processes
Quantitative and Qualitative feedback
Provide feedback on tools being used and on potential alternatives
Use a variety of communication channels such as Slack, Teams, and SharePoint, to learn about new projects, collaborate with your team, and ask questions
Learn new software programs on the job
Providing supporting documentation when the AI fails
Keywords provides a competitive compensation package, good benefits and a casual, fun, productive and supportive working environment. We empower people to perform to the best of their ability with our “can do” attitude. We appreciate and embrace flexibility and learn at every opportunity to grow ourselves through experience, training and tackling new challenges. This is what makes us Keywordians.
Requirements
Preferred prior work experience or college studies in AI
Process-oriented, focused on problem-solving, an effective communicator, efficient, and highly organized, with strong attention to detail
An ability to learn, document, and work with the team on new technologies and processes
Ability to gain new skills and knowledge through hands-on experience
Experience in assisting in system troubleshooting & finding resolutions
Keen eye for detail
Strong Communication Skills (Oral and Written)
Demonstrated ability to work independently
Strong time management skills
Exemplify the quality of doing "get it done attitude," including a high level of accountability, transparency, and teamwork first & foremost
A stable internet connection with a download speed of 50-100 Mbps and an upload speed of at least 10 Mbps
Benefits
At Keywords, we provide all our contingent workforce with:
Paid Time Off (including sick days and holidays)
401k (3% matching)
Medical, Dental and Vision benefits
By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.
Role Information: EN
Studio: Keywords Studios
Location: Americas, United States, San Francisco
Area of Work: Embedded Services
Service: Globalize
Employment Type: Contractor, Full Time
Working Pattern: Remote

San Francisco, CA, USA
$24-27/hour
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