Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Prepare and review individual U.S. income tax returns, identify complex tax scenarios and product edge cases, validate tax engine outputs against professional tax software, and collaborate with engineers on tax rules, product improvements, and user experience. Serve as a tax subject matter expert embedded within an early-stage product and engineering team.

Reviews and evaluates domain-specific documents, providing structured feedback on quality, accuracy, and relevance. The role requires strong analytical and written communication skills, detailed document review, proficiency with spreadsheet and presentation software, and the ability to follow structured guidelines. Candidates must have a bachelor’s degree, at least three years of relevant professional experience, English proficiency, and reside in the United States, Europe, the United Kingdom, or Canada.

Builds a talent network of experienced data scientists for potential future AI evaluation projects. Responsibilities may include creating grading criteria, evaluating AI-generated or human-produced data science work, writing evidence-based justifications, applying consistent judgment, and incorporating reviewer feedback. Candidates should have professional data science experience, strong Python and SQL skills, expertise in statistical modeling, machine learning, experimentation, causal inference, and excellent technical communication.

Develop and evaluate realistic Excel tasks and solutions for AI training data. Apply advanced Excel capabilities including formulas, PivotTables, data modeling, dashboards, Power Query, Power Pivot, and VBA across multiple industries and business functions. Provide written feedback, close research knowledge gaps, improve model performance, and collaborate with subject matter experts. Requires reliable weekday availability, initially 40 hours per week and 20 hours thereafter.

Design and manage compensation and equity programs, including salary bands, leveling frameworks, annual compensation cycles, incentive structures, option and RSU programs, 409A valuations, grant administration, equity modeling, and employee communications. Valuable experience includes pay equity, pay transparency, global or contractor compensation, benefits design, HRIS and compensation tooling, executive compensation, plan governance, and IPO readiness.

Evaluate AI-generated legal analyses involving civil legal services and access-to-justice issues. Review housing, family, consumer, foreclosure, and debt scenarios; assess legal reasoning and procedural guidance; identify inaccuracies and access-to-justice considerations; and provide structured written feedback. The role requires a Juris Doctor, active U.S. bar admission, civil legal practice experience, pro bono initiative experience, and strong legal writing and analytical skills.

Review, assess, and provide structured feedback on brand and creative marketing documents. Evaluate content for quality, accuracy, relevance, and adherence to guidelines while applying strong analytical, written communication, document review, and attention-to-detail skills.

Review and assess domain-specific documents, provide structured feedback, and evaluate quality, accuracy, and relevance. The role requires strong analytical, written communication, document review, and attention-to-detail skills, along with proficiency in Excel, PowerPoint, and Word. Candidates must have a bachelor’s degree, at least two years of relevant professional experience, and be based in the United States, Europe, the UK, or Canada.

Builds a network of experienced management consultants for potential future AI evaluation projects. Responsibilities may include creating grading criteria for consulting deliverables, evaluating AI-generated or human-created work, providing evidence-based written feedback, and calibrating judgments with senior reviewers. Candidates should have management consulting experience and strong skills in structured problem-solving, market sizing, financial modeling, business-case development, and executive presentations.

Evaluate and improve clinical AI systems through grading-criteria development, dialogue evaluation, clinical reasoning annotation, output review, guideline authoring, and difficult-case writing. The role requires physicians to assess accuracy, safety, completeness, clinical reasoning, and escalation guidance without providing direct patient care. Work is assigned across shared clinical AI workstreams and requires at least 20 hours weekly.